def get_modulated_structure(phonopy_instance, phonopy_inputs, phonon_modes): dynamical_matrix = phonopy_instance.get_dynamical_matrix() dimension = phonopy_inputs['supercell_dimensions'] modulation = Modulation(dynamical_matrix, dimension, phonon_modes) modulation.run() cells = modulation.get_modulated_supercells() return convert_phonopy_atoms_to_structure(cells[0])
def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): self._modulation = Modulation(self._dynamical_matrix, self._primitive, dimension=dimension, phonon_modes=phonon_modes, delta_q=delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run()
def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._modulation = None return False self._modulation = Modulation(self._dynamical_matrix, dimension, phonon_modes, delta_q=delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run() return True
def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): self._set_dynamical_matrix() self._modulation = Modulation(self._dynamical_matrix, dimension, phonon_modes, delta_q=delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run()
class Phonopy(object): def __init__(self, unitcell, supercell_matrix, primitive_matrix=None, nac_params=None, distance=None, factor=VaspToTHz, is_auto_displacements=None, dynamical_matrix_decimals=None, force_constants_decimals=None, symprec=1e-5, is_symmetry=True, use_lapack_solver=False, log_level=0): if is_auto_displacements is not None: print("Warning: \'is_auto_displacements\' argument is obsolete.") if is_auto_displacements is False: print("Sets of displacements are not created as default.") else: print("Use \'generate_displacements\' method explicitly to " "create sets of displacements.") if distance is not None: print("Warning: \'distance\' keyword argument is obsolete at " "Phonopy instantiation.") print("Specify \'distance\' keyword argument when calling " "\'generate_displacements\'") print("method (See the Phonopy API document).") self._symprec = symprec self._factor = factor self._is_symmetry = is_symmetry self._use_lapack_solver = use_lapack_solver self._log_level = log_level # Create supercell and primitive cell self._unitcell = Atoms(atoms=unitcell) self._supercell_matrix = supercell_matrix self._primitive_matrix = primitive_matrix self._supercell = None self._primitive = None self._build_supercell() self._build_primitive_cell() # Set supercell and primitive symmetry self._symmetry = None self._primitive_symmetry = None self._search_symmetry() self._search_primitive_symmetry() # set_displacements (used only in preprocess) self._displacement_dataset = None self._displacements = None self._displacement_directions = None self._supercells_with_displacements = None # set_force_constants or set_forces self._force_constants = None self._force_constants_decimals = force_constants_decimals # set_dynamical_matrix self._dynamical_matrix = None self._nac_params = nac_params self._dynamical_matrix_decimals = dynamical_matrix_decimals # set_band_structure self._band_structure = None # set_mesh self._mesh = None # set_tetrahedron_method self._tetrahedron_method = None # set_thermal_properties self._thermal_properties = None # set_thermal_displacements self._thermal_displacements = None # set_thermal_displacement_matrices self._thermal_displacement_matrices = None # set_partial_DOS self._pdos = None # set_total_DOS self._total_dos = None # set_modulation self._modulation = None # set_character_table self._irreps = None # set_group_velocity self._group_velocity = None def get_version(self): return __version__ def get_primitive(self): return self._primitive primitive = property(get_primitive) def get_unitcell(self): return self._unitcell unitcell = property(get_unitcell) def get_supercell(self): return self._supercell supercell = property(get_supercell) def get_symmetry(self): """return symmetry of supercell""" return self._symmetry symmetry = property(get_symmetry) def get_primitive_symmetry(self): """return symmetry of primitive cell""" return self._primitive_symmetry def get_supercell_matrix(self): return self._supercell_matrix def get_primitive_matrix(self): return self._primitive_matrix def get_unit_conversion_factor(self): return self._factor unit_conversion_factor = property(get_unit_conversion_factor) def get_displacement_dataset(self): return self._displacement_dataset def get_displacements(self): return self._displacements displacements = property(get_displacements) def get_displacement_directions(self): return self._displacement_directions displacement_directions = property(get_displacement_directions) def get_supercells_with_displacements(self): if self._displacement_dataset is None: return None else: self._build_supercells_with_displacements() return self._supercells_with_displacements def get_force_constants(self): return self._force_constants force_constants = property(get_force_constants) def get_rotational_condition_of_fc(self): return rotational_invariance(self._force_constants, self._supercell, self._primitive, self._symprec) def get_nac_params(self): return self._nac_params def get_dynamical_matrix(self): return self._dynamical_matrix dynamical_matrix = property(get_dynamical_matrix) def set_unitcell(self, unitcell): self._unitcell = unitcell self._build_supercell() self._build_primitive_cell() self._search_symmetry() self._search_primitive_symmetry() self._displacement_dataset = None def set_masses(self, masses): p_masses = np.array(masses) self._primitive.set_masses(p_masses) p2p_map = self._primitive.get_primitive_to_primitive_map() s_masses = p_masses[[p2p_map[x] for x in self._primitive.get_supercell_to_primitive_map()]] self._supercell.set_masses(s_masses) u2s_map = self._supercell.get_unitcell_to_supercell_map() u_masses = s_masses[u2s_map] self._unitcell.set_masses(u_masses) self._set_dynamical_matrix() def set_nac_params(self, nac_params=None): self._nac_params = nac_params self._set_dynamical_matrix() def set_displacement_dataset(self, displacement_dataset): """ displacement_dataset: {'natom': number_of_atoms_in_supercell, 'first_atoms': [ {'number': atom index of displaced atom, 'displacement': displacement in Cartesian coordinates, 'direction': displacement direction with respect to axes 'forces': forces on atoms in supercell}, {...}, ...]} """ self._displacement_dataset = displacement_dataset self._displacements = [] self._displacement_directions = [] for disp in self._displacement_dataset['first_atoms']: x = disp['displacement'] self._displacements.append([disp['number'], x[0], x[1], x[2]]) if 'direction' in disp: y = disp['direction'] self._displacement_directions.append( [disp['number'], y[0], y[1], y[2]]) if not self._displacement_directions: self._displacement_directions = None def set_forces(self, sets_of_forces): """ sets_of_forces: [[[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # first supercell [[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # second supercell ... ] """ for disp, forces in zip( self._displacement_dataset['first_atoms'], sets_of_forces): disp['forces'] = forces def set_force_constants(self, force_constants): self._force_constants = force_constants self._set_dynamical_matrix() def set_force_constants_zero_with_radius(self, cutoff_radius): cutoff_force_constants(self._force_constants, self._supercell, cutoff_radius, symprec=self._symprec) self._set_dynamical_matrix() def set_dynamical_matrix(self): self._set_dynamical_matrix() def generate_displacements(self, distance=0.01, is_plusminus='auto', is_diagonal=True, is_trigonal=False): """Generate displacements automatically displacemsts: List of displacements in Cartesian coordinates. [[0, 0.01, 0.00, 0.00], ...] where each set of elements is defined by: First value: Atom index in supercell starting with 0 Second to fourth: Displacement in Cartesian coordinates displacement_directions: List of directions with respect to axes. This gives only the symmetrically non equivalent directions. The format is like: [[0, 1, 0, 0], [7, 1, 0, 1], ...] where each list is defined by: First value: Atom index in supercell starting with 0 Second to fourth: If the direction is displaced or not ( 1, 0, or -1 ) with respect to the axes. """ displacement_directions = get_least_displacements( self._symmetry, is_plusminus=is_plusminus, is_diagonal=is_diagonal, is_trigonal=is_trigonal, log_level=self._log_level) displacement_dataset = direction_to_displacement( displacement_directions, distance, self._supercell) self.set_displacement_dataset(displacement_dataset) def produce_force_constants(self, forces=None, calculate_full_force_constants=True, computation_algorithm="svd"): if forces is not None: self.set_forces(forces) # A primitive check if 'forces' key is in displacement_dataset. for disp in self._displacement_dataset['first_atoms']: if 'forces' not in disp: return False if calculate_full_force_constants: self._run_force_constants_from_forces( decimals=self._force_constants_decimals, computation_algorithm=computation_algorithm) else: p2s_map = self._primitive.get_primitive_to_supercell_map() self._run_force_constants_from_forces( distributed_atom_list=p2s_map, decimals=self._force_constants_decimals, computation_algorithm=computation_algorithm) self._set_dynamical_matrix() return True def symmetrize_force_constants(self, iteration=3): symmetrize_force_constants(self._force_constants, iteration) self._set_dynamical_matrix() def symmetrize_force_constants_by_space_group(self): from phonopy.harmonic.force_constants import (set_tensor_symmetry, set_tensor_symmetry_PJ) set_tensor_symmetry_PJ(self._force_constants, self._supercell.get_cell().T, self._supercell.get_scaled_positions(), self._symmetry) self._set_dynamical_matrix() ##################### # Phonon properties # ##################### # Single q-point def get_dynamical_matrix_at_q(self, q): self._set_dynamical_matrix() if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") return None self._dynamical_matrix.set_dynamical_matrix(q) return self._dynamical_matrix.get_dynamical_matrix() def get_frequencies(self, q): """ Calculate phonon frequencies at q q: q-vector in reduced coordinates of primitive cell """ self._set_dynamical_matrix() if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") return None self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] for eig in np.linalg.eigvalsh(dm).real: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor def get_frequencies_with_eigenvectors(self, q): """ Calculate phonon frequencies and eigenvectors at q q: q-vector in reduced coordinates of primitive cell """ self._set_dynamical_matrix() if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") return None self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] eigvals, eigenvectors = np.linalg.eigh(dm) frequencies = [] for eig in eigvals: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor, eigenvectors # Band structure def set_band_structure(self, bands, is_eigenvectors=False, is_band_connection=False): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._band_structure = None return False self._band_structure = BandStructure( bands, self._dynamical_matrix, is_eigenvectors=is_eigenvectors, is_band_connection=is_band_connection, group_velocity=self._group_velocity, factor=self._factor) return True def get_band_structure(self): band = self._band_structure return (band.get_qpoints(), band.get_distances(), band.get_frequencies(), band.get_eigenvectors()) def plot_band_structure(self, labels=None): import matplotlib.pyplot as plt if labels: from matplotlib import rc rc('text', usetex=True) fig, ax = plt.subplots() ax.xaxis.set_ticks_position('both') ax.yaxis.set_ticks_position('both') ax.xaxis.set_tick_params(which='both', direction='in') ax.yaxis.set_tick_params(which='both', direction='in') self._band_structure.plot(plt, labels=labels) return plt def write_yaml_band_structure(self, labels=None, comment=None, filename="band.yaml"): self._band_structure.write_yaml(labels=labels, comment=comment, filename=filename) # Sampling mesh def run_mesh(self): if self._mesh is not None: self._mesh.run() def set_mesh(self, mesh, shift=None, is_time_reversal=True, is_mesh_symmetry=True, is_eigenvectors=False, is_gamma_center=False, run_immediately=True): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._mesh = None return False self._mesh = Mesh( self._dynamical_matrix, mesh, shift=shift, is_time_reversal=is_time_reversal, is_mesh_symmetry=is_mesh_symmetry, is_eigenvectors=is_eigenvectors, is_gamma_center=is_gamma_center, group_velocity=self._group_velocity, rotations=self._primitive_symmetry.get_pointgroup_operations(), factor=self._factor, use_lapack_solver=self._use_lapack_solver) if run_immediately: self._mesh.run() return True def get_mesh(self): if self._mesh is None: return None else: return (self._mesh.get_qpoints(), self._mesh.get_weights(), self._mesh.get_frequencies(), self._mesh.get_eigenvectors()) def get_mesh_grid_info(self): if self._mesh is None: return None else: return (self._mesh.get_grid_address(), self._mesh.get_ir_grid_points(), self._mesh.get_grid_mapping_table()) def write_hdf5_mesh(self): self._mesh.write_hdf5() def write_yaml_mesh(self): self._mesh.write_yaml() # Plot band structure and DOS (PDOS) together def plot_band_structure_and_dos(self, pdos_indices=None, labels=None): import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec if labels: from matplotlib import rc rc('text', usetex=True) plt.figure(figsize=(10, 6)) gs = gridspec.GridSpec(1, 2, width_ratios=[3, 1]) ax1 = plt.subplot(gs[0, 0]) ax1.xaxis.set_ticks_position('both') ax1.yaxis.set_ticks_position('both') ax1.xaxis.set_tick_params(which='both', direction='in') ax1.yaxis.set_tick_params(which='both', direction='in') self._band_structure.plot(plt, labels=labels) ax2 = plt.subplot(gs[0, 1], sharey=ax1) ax2.xaxis.set_ticks_position('both') ax2.yaxis.set_ticks_position('both') ax2.xaxis.set_tick_params(which='both', direction='in') ax2.yaxis.set_tick_params(which='both', direction='in') plt.subplots_adjust(wspace=0.03) plt.setp(ax2.get_yticklabels(), visible=False) if pdos_indices is None: self._total_dos.plot(plt, ylabel="", draw_grid=False, flip_xy=True) else: self._pdos.plot(plt, indices=pdos_indices, ylabel="", draw_grid=False, flip_xy=True) ax2.set_xlim((0, None)) return plt # DOS def set_total_DOS(self, sigma=None, freq_min=None, freq_max=None, freq_pitch=None, tetrahedron_method=False): if self._mesh is None: print("Warning: \'set_mesh\' has to finish correctly " "before DOS calculation.") self._total_dos = None return False total_dos = TotalDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method) total_dos.set_draw_area(freq_min, freq_max, freq_pitch) total_dos.run() self._total_dos = total_dos return True def get_total_DOS(self): """ Retern frequencies and total dos. The first element is freqs and the second is total dos. frequencies: [freq1, freq2, ...] total_dos: [dos1, dos2, ...] """ return self._total_dos.get_dos() def set_Debye_frequency(self, freq_max_fit=None): self._total_dos.set_Debye_frequency( self._primitive.get_number_of_atoms(), freq_max_fit=freq_max_fit) def get_Debye_frequency(self): return self._total_dos.get_Debye_frequency() def plot_total_DOS(self): import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.xaxis.set_ticks_position('both') ax.yaxis.set_ticks_position('both') ax.xaxis.set_tick_params(which='both', direction='in') ax.yaxis.set_tick_params(which='both', direction='in') self._total_dos.plot(plt, draw_grid=False) ax.set_ylim((0, None)) return plt def write_total_DOS(self): self._total_dos.write() # PDOS def set_partial_DOS(self, sigma=None, freq_min=None, freq_max=None, freq_pitch=None, tetrahedron_method=False, direction=None, xyz_projection=False): self._pdos = None if self._mesh is None: print("Warning: \'set_mesh\' has to be called before " "PDOS calculation.") return False if self._mesh.get_eigenvectors() is None: print("Warning: Eigenvectors have to be calculated.") return False num_grid = np.prod(self._mesh.get_mesh_numbers()) if num_grid != len(self._mesh.get_ir_grid_points()): print("Warning: \'set_mesh\' has to be called with " "is_mesh_symmetry=False.") return False if direction is not None: direction_cart = np.dot(direction, self._primitive.get_cell()) else: direction_cart = None self._pdos = PartialDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method, direction=direction_cart, xyz_projection=xyz_projection) self._pdos.set_draw_area(freq_min, freq_max, freq_pitch) self._pdos.run() return True def get_partial_DOS(self): """ Retern frequencies and partial_dos. The first element is freqs and the second is partial_dos. frequencies: [freq1, freq2, ...] partial_dos: [[atom1-freq1, atom1-freq2, ...], [atom2-freq1, atom2-freq2, ...], ...] """ return self._pdos.get_partial_dos() def plot_partial_DOS(self, pdos_indices=None, legend=None): import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.xaxis.set_ticks_position('both') ax.yaxis.set_ticks_position('both') ax.xaxis.set_tick_params(which='both', direction='in') ax.yaxis.set_tick_params(which='both', direction='in') self._pdos.plot(plt, indices=pdos_indices, legend=legend, draw_grid=False) ax.set_ylim((0, None)) return plt def write_partial_DOS(self): self._pdos.write() # Thermal property def set_thermal_properties(self, t_step=10, t_max=1000, t_min=0, temperatures=None, is_projection=False, band_indices=None, cutoff_frequency=None, pretend_real=False): if self._mesh is None: print("Warning: set_mesh has to be done before " "set_thermal_properties") return False else: tp = ThermalProperties(self._mesh.get_frequencies(), weights=self._mesh.get_weights(), eigenvectors=self._mesh.get_eigenvectors(), is_projection=is_projection, band_indices=band_indices, cutoff_frequency=cutoff_frequency, pretend_real=pretend_real) if temperatures is None: tp.set_temperature_range(t_step=t_step, t_max=t_max, t_min=t_min) else: tp.set_temperatures(temperatures) tp.run() self._thermal_properties = tp def get_thermal_properties(self): temps, fe, entropy, cv = \ self._thermal_properties.get_thermal_properties() return temps, fe, entropy, cv def plot_thermal_properties(self): import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.xaxis.set_ticks_position('both') ax.yaxis.set_ticks_position('both') ax.xaxis.set_tick_params(which='both', direction='in') ax.yaxis.set_tick_params(which='both', direction='in') self._thermal_properties.plot(plt) temps, _, _, _ = self._thermal_properties.get_thermal_properties() ax.set_xlim((0, temps[-1])) return plt def write_yaml_thermal_properties(self, filename='thermal_properties.yaml'): self._thermal_properties.write_yaml(filename=filename) # Thermal displacement def set_thermal_displacements(self, t_step=10, t_max=1000, t_min=0, temperatures=None, direction=None, cutoff_frequency=None): """ cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. direction: Projection direction in reduced coordinates """ self._thermal_displacements = None if self._mesh is None: print("Warning: \'set_mesh\' has to finish correctly " "before \'set_thermal_displacements\'.") return False eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print("Warning: Eigenvectors have to be calculated.") return False if np.prod(mesh_nums) != len(eigvecs): print("Warning: Sampling mesh must not be symmetrized.") return False td = ThermalDisplacements(frequencies, eigvecs, self._primitive.get_masses(), cutoff_frequency=cutoff_frequency) if temperatures is None: td.set_temperature_range(t_min, t_max, t_step) else: td.set_temperatures(temperatures) if direction is not None: td.project_eigenvectors(direction, self._primitive.get_cell()) td.run() self._thermal_displacements = td return True def get_thermal_displacements(self): if self._thermal_displacements is not None: return self._thermal_displacements.get_thermal_displacements() def plot_thermal_displacements(self, is_legend=False): import matplotlib.pyplot as plt fig, ax = plt.subplots() ax.xaxis.set_ticks_position('both') ax.yaxis.set_ticks_position('both') ax.xaxis.set_tick_params(which='both', direction='in') ax.yaxis.set_tick_params(which='both', direction='in') self._thermal_displacements.plot(plt, is_legend=is_legend) temps, _ = self._thermal_displacements.get_thermal_displacements() ax.set_xlim((0, temps[-1])) return plt def write_yaml_thermal_displacements(self): self._thermal_displacements.write_yaml() # Thermal displacement matrix def set_thermal_displacement_matrices(self, t_step=10, t_max=1000, t_min=0, cutoff_frequency=None, t_cif=None): """ cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. direction: Projection direction in reduced coordinates """ self._thermal_displacement_matrices = None if self._mesh is None: print("Warning: \'set_mesh\' has to finish correctly " "before \'set_thermal_displacement_matrices\'.") return False eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print("Warning: Eigenvectors have to be calculated.") return False if np.prod(mesh_nums) != len(eigvecs): print("Warning: Sampling mesh must not be symmetrized.") return False tdm = ThermalDisplacementMatrices(frequencies, eigvecs, self._primitive.get_masses(), cutoff_frequency=cutoff_frequency, lattice=self._primitive.get_cell().T) if t_cif is None: tdm.set_temperature_range(t_min, t_max, t_step) else: tdm.set_temperatures([t_cif]) tdm.run() self._thermal_displacement_matrices = tdm return True def get_thermal_displacement_matrices(self): tdm = self._thermal_displacement_matrices if tdm is not None: return tdm.get_thermal_displacement_matrices() def write_yaml_thermal_displacement_matrices(self): self._thermal_displacement_matrices.write_yaml() def write_thermal_displacement_matrix_to_cif(self, temperature_index): self._thermal_displacement_matrices.write_cif(self._primitive, temperature_index) # Mean square distance between a pair of atoms def set_thermal_distances(self, atom_pairs, t_step=10, t_max=1000, t_min=0, cutoff_frequency=None): """ atom_pairs: List of list Mean square distances are calculated for the atom_pairs e.g. [[1, 2], [1, 4]] cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. """ td = ThermalDistances(self._mesh.get_frequencies(), self._mesh.get_eigenvectors(), self._supercell, self._primitive, self._mesh.get_qpoints(), cutoff_frequency=cutoff_frequency) td.set_temperature_range(t_min, t_max, t_step) td.run(atom_pairs) self._thermal_distances = td def write_yaml_thermal_distances(self): self._thermal_distances.write_yaml() # Sampling at q-points def set_qpoints_phonon(self, q_points, nac_q_direction=None, is_eigenvectors=False, write_dynamical_matrices=False): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._qpoints_phonon = None return False self._qpoints_phonon = QpointsPhonon( np.reshape(q_points, (-1, 3)), self._dynamical_matrix, nac_q_direction=nac_q_direction, is_eigenvectors=is_eigenvectors, group_velocity=self._group_velocity, write_dynamical_matrices=write_dynamical_matrices, factor=self._factor) return True def get_qpoints_phonon(self): return (self._qpoints_phonon.get_frequencies(), self._qpoints_phonon.get_eigenvectors()) def write_hdf5_qpoints_phonon(self): self._qpoints_phonon.write_hdf5() def write_yaml_qpoints_phonon(self): self._qpoints_phonon.write_yaml() # Normal mode animation def write_animation(self, q_point=None, anime_type='v_sim', band_index=None, amplitude=None, num_div=None, shift=None, filename=None): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") return False if q_point is None: animation = Animation([0, 0, 0], self._dynamical_matrix, shift=shift) else: animation = Animation(q_point, self._dynamical_matrix, shift=shift) if anime_type == 'v_sim': if amplitude: amplitude_ = amplitude else: amplitude_ = 1.0 if filename: animation.write_v_sim(amplitude=amplitude_, factor=self._factor, filename=filename) else: animation.write_v_sim(amplitude=amplitude_, factor=self._factor) if (anime_type == 'arc' or anime_type == 'xyz' or anime_type == 'jmol' or anime_type == 'poscar'): if band_index is None or amplitude is None or num_div is None: print("Warning: Parameters are not correctly set for " "animation.") return False if anime_type == 'arc' or anime_type is None: if filename: animation.write_arc(band_index, amplitude, num_div, filename=filename) else: animation.write_arc(band_index, amplitude, num_div) if anime_type == 'xyz': if filename: animation.write_xyz(band_index, amplitude, num_div, self._factor, filename=filename) else: animation.write_xyz(band_index, amplitude, num_div, self._factor) if anime_type == 'jmol': if filename: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor, filename=filename) else: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor) if anime_type == 'poscar': if filename: animation.write_POSCAR(band_index, amplitude, num_div, filename=filename) else: animation.write_POSCAR(band_index, amplitude, num_div) return True # Atomic modulation of normal mode def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._modulation = None return False self._modulation = Modulation(self._dynamical_matrix, dimension, phonon_modes, delta_q=delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run() return True def get_modulated_supercells(self): """Returns cells with modulations as Atoms objects""" return self._modulation.get_modulated_supercells() def get_modulations_and_supercell(self): """Return modulations and supercell (modulations, supercell) modulations: Atomic modulations of supercell in Cartesian coordinates supercell: Supercell as an Atoms object. """ return self._modulation.get_modulations_and_supercell() def write_modulations(self): """Create MPOSCAR's""" self._modulation.write() def write_yaml_modulations(self): self._modulation.write_yaml() # Irreducible representation def set_irreps(self, q, is_little_cogroup=False, nac_q_direction=None, degeneracy_tolerance=1e-4): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._irreps = None return None self._irreps = IrReps( self._dynamical_matrix, q, is_little_cogroup=is_little_cogroup, nac_q_direction=nac_q_direction, factor=self._factor, symprec=self._symprec, degeneracy_tolerance=degeneracy_tolerance, log_level=self._log_level) return self._irreps.run() def get_irreps(self): return self._irreps def show_irreps(self, show_irreps=False): self._irreps.show(show_irreps=show_irreps) def write_yaml_irreps(self, show_irreps=False): self._irreps.write_yaml(show_irreps=show_irreps) # Group velocity def set_group_velocity(self, q_length=None): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._group_velocity = None return False self._group_velocity = GroupVelocity( self._dynamical_matrix, q_length=q_length, symmetry=self._primitive_symmetry, frequency_factor_to_THz=self._factor) return True def get_group_velocity(self): return self._group_velocity.get_group_velocity() def get_group_velocity_at_q(self, q_point): if self._group_velocity is None: self.set_group_velocity() self._group_velocity.set_q_points([q_point]) return self._group_velocity.get_group_velocity()[0] # Moment def set_moment(self, order=1, is_projection=False, freq_min=None, freq_max=None): if self._mesh is None: print("Warning: set_mesh has to be done before set_moment") return False else: if is_projection: if self._mesh.get_eigenvectors() is None: print("Warning: Eigenvectors have to be calculated.") return False moment = PhononMoment( self._mesh.get_frequencies(), weights=self._mesh.get_weights(), eigenvectors=self._mesh.get_eigenvectors()) else: moment = PhononMoment( self._mesh.get_frequencies(), weights=self._mesh.get_weights()) if freq_min is not None or freq_max is not None: moment.set_frequency_range(freq_min=freq_min, freq_max=freq_max) moment.run(order=order) self._moment = moment.get_moment() return True def get_moment(self): return self._moment ################# # Local methods # ################# def _run_force_constants_from_forces(self, distributed_atom_list=None, decimals=None, computation_algorithm="svd"): if self._displacement_dataset is not None: self._force_constants = get_fc2( self._supercell, self._symmetry, self._displacement_dataset, atom_list=distributed_atom_list, decimals=decimals, computation_algorithm=computation_algorithm) def _set_dynamical_matrix(self): self._dynamical_matrix = None if (self._supercell is None or self._primitive is None): print("Bug: Supercell or primitive is not created.") return False elif self._force_constants is None: print("Warning: Force constants are not prepared.") return False elif self._primitive.get_masses() is None: print("Warning: Atomic masses are not correctly set.") return False else: if self._nac_params is None: self._dynamical_matrix = DynamicalMatrix( self._supercell, self._primitive, self._force_constants, decimals=self._dynamical_matrix_decimals, symprec=self._symprec) else: self._dynamical_matrix = DynamicalMatrixNAC( self._supercell, self._primitive, self._force_constants, nac_params=self._nac_params, decimals=self._dynamical_matrix_decimals, symprec=self._symprec) return True def _search_symmetry(self): self._symmetry = Symmetry(self._supercell, self._symprec, self._is_symmetry) def _search_primitive_symmetry(self): self._primitive_symmetry = Symmetry(self._primitive, self._symprec, self._is_symmetry) if (len(self._symmetry.get_pointgroup_operations()) != len(self._primitive_symmetry.get_pointgroup_operations())): print("Warning: Point group symmetries of supercell and primitive" "cell are different.") def _build_supercell(self): self._supercell = get_supercell(self._unitcell, self._supercell_matrix, self._symprec) def _build_supercells_with_displacements(self): supercells = [] for disp in self._displacement_dataset['first_atoms']: positions = self._supercell.get_positions() positions[disp['number']] += disp['displacement'] supercells.append(Atoms( numbers=self._supercell.get_atomic_numbers(), masses=self._supercell.get_masses(), magmoms=self._supercell.get_magnetic_moments(), positions=positions, cell=self._supercell.get_cell(), pbc=True)) self._supercells_with_displacements = supercells def _build_primitive_cell(self): """ primitive_matrix: Relative axes of primitive cell to the input unit cell. Relative axes to the supercell is calculated by: supercell_matrix^-1 * primitive_matrix Therefore primitive cell lattice is finally calculated by: (supercell_lattice * (supercell_matrix)^-1 * primitive_matrix)^T """ inv_supercell_matrix = np.linalg.inv(self._supercell_matrix) if self._primitive_matrix is None: trans_mat = inv_supercell_matrix else: trans_mat = np.dot(inv_supercell_matrix, self._primitive_matrix) self._primitive = get_primitive( self._supercell, trans_mat, self._symprec) num_satom = self._supercell.get_number_of_atoms() num_patom = self._primitive.get_number_of_atoms() if abs(num_satom * np.linalg.det(trans_mat) - num_patom) < 0.1: return True else: return False
class Phonopy: def __init__(self, unitcell, supercell_matrix, distance=0.01, factor=VaspToTHz, is_auto_displacements=True, symprec=1e-5, is_symmetry=True, log_level=0): self._symprec = symprec self._unitcell = unitcell self._supercell_matrix = supercell_matrix self._factor = factor self._is_symmetry = is_symmetry self._log_level = log_level self._supercell = None self._set_supercell() self._symmetry = None self._set_symmetry() # set_displacements (used only in preprocess) self._displacements = None self._displacement_directions = None self._supercells_with_displacements = None if is_auto_displacements: self.generate_displacements(distance) # set_post_process self._primitive = None self._dynamical_matrix = None self._is_nac = False # set_force_constants or set_forces self._set_of_forces_objects = None self._force_constants = None # set_band_structure self._band_structure = None # set_mesh self._mesh = None # set_thermal_properties self._thermal_properties = None # set_thermal_displacements self._thermal_displacements = None # set_thermal_displacement_matrices self._thermal_displacement_matrices = None # set_partial_DOS self._pdos = None # set_total_DOS self._total_dos = None # set_modulation self._modulation = None # set_character_table self._irreps = None # set_group_velocity self._group_velocity = None def get_primitive(self): return self._primitive primitive = property(get_primitive) def set_primitive(self, primitive): self._primitive = primitive def get_unitcell(self): return self._unitcell unitcell = property(get_unitcell) def get_supercell(self): return self._supercell supercell = property(get_supercell) def set_supercell(self, supercell): self._supercell = supercell def get_symmetry(self): return self._symmetry symmetry = property(get_symmetry) def get_unit_conversion_factor(self): return self._factor unit_conversion_factor = property(get_unit_conversion_factor) def generate_displacements(self, distance=0.01, is_plusminus='auto', is_diagonal=True, is_trigonal=False): """Generate displacements automatically displacements: List of displacements in Cartesian coordinates. See 'set_displacements' displacement_directions: List of directions with respect to axes. This gives only the symmetrically non equivalent directions. The format is like: [[0, 1, 0, 0], [7, 1, 0, 1], ...] where each list is defined by: First value: Atom index in supercell starting with 0 Second to fourth: If the direction is displaced or not ( 1, 0, or -1 ) with respect to the axes. """ lattice = self._supercell.get_cell() self._displacements = [] self._displacement_directions = \ get_least_displacements(self._symmetry, is_plusminus=is_plusminus, is_diagonal=is_diagonal, is_trigonal=is_trigonal, log_level=self._log_level) for disp in self._displacement_directions: atom_num = disp[0] disp_cartesian = np.dot(disp[1:], lattice) disp_cartesian *= distance / np.linalg.norm(disp_cartesian) self._displacements.append([ atom_num, disp_cartesian[0], disp_cartesian[1], disp_cartesian[2] ]) self._set_supercells_with_displacements() def set_displacements(self, displacements): """Set displacements manually displacemsts: List of disctionaries [[0, 0.01, 0.00, 0.00], ...] where each set of elements is defined by: First value: Atom index in supercell starting with 0 Second to fourth: Displacement in Cartesian coordinates """ self._displacements = displacements self._set_supercells_with_displacements() def get_displacements(self): return self._displacements displacements = property(get_displacements) def get_displacement_directions(self): return self._displacement_directions displacement_directions = property(get_displacement_directions) def get_supercells_with_displacements(self): return self._supercells_with_displacements def set_post_process(self, primitive_matrix=np.eye(3, dtype=float), sets_of_forces=None, set_of_forces_objects=None, force_constants=None, is_nac=False, calculate_full_force_constants=False, force_constants_decimals=None, dynamical_matrix_decimals=None): """ Set forces or force constants to prepare phonon calculations. The order of 'sets_of_forces' has to correspond to that of 'displacements' that should be already stored. primitive_matrix: Relative axes of primitive cell to the input unit cell. Relative axes to the supercell is calculated by: supercell_matrix^-1 * primitive_matrix Therefore primitive cell lattice is finally calculated by: (supercell_lattice * (supercell_matrix)^-1 * primitive_matrix)^T sets_of_forces: [[[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # first supercell [[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # second supercell ... ] set_of_forces_objects: [FORCES_object, FORCES_object, FORCES_object, ...] """ self._is_nac = is_nac # Primitive cell inv_supercell_matrix = np.linalg.inv(self._supercell_matrix) self._primitive = Primitive( self._supercell, np.dot(inv_supercell_matrix, primitive_matrix), self._symprec) # Set set of FORCES objects or force constants if sets_of_forces is not None: self.set_forces(sets_of_forces) elif set_of_forces_objects is not None: self.set_force_sets(set_of_forces_objects) elif force_constants is not None: self.set_force_constants(force_constants) # Calculate force cosntants from forces (full or symmetry reduced) if self._set_of_forces_objects is not None: if calculate_full_force_constants: self.set_force_constants_from_forces( distributed_atom_list=None, force_constants_decimals=force_constants_decimals) else: p2s_map = self._primitive.get_primitive_to_supercell_map() self.set_force_constants_from_forces( distributed_atom_list=p2s_map, force_constants_decimals=force_constants_decimals) if self._force_constants is None: print "In set_post_process, sets_of_forces or force_constants" print "has to be set." return False # Dynamical Matrix self.set_dynamical_matrix(decimals=dynamical_matrix_decimals) def set_nac_params(self, nac_params, method='wang'): if self._is_nac: self._dynamical_matrix.set_nac_params(nac_params, method) def set_dynamical_matrix(self, decimals=None): if self._is_nac: self._dynamical_matrix = \ DynamicalMatrixNAC(self._supercell, self._primitive, self._force_constants, decimals=decimals, symprec=self._symprec) else: self._dynamical_matrix = \ DynamicalMatrix(self._supercell, self._primitive, self._force_constants, decimals=decimals, symprec=self._symprec) def get_dynamical_matrix(self): return self._dynamical_matrix dynamical_matrix = property(get_dynamical_matrix) def set_forces(self, sets_of_forces): forces = [] for i, disp in enumerate(self._displacements): forces.append(Forces(disp[0], disp[1:4], sets_of_forces[i])) self._set_of_forces_objects = forces def set_force_constants_from_forces(self, distributed_atom_list=None, force_constants_decimals=None): self._force_constants = get_force_constants( self._set_of_forces_objects, self._symmetry, self._supercell, atom_list=distributed_atom_list, decimals=force_constants_decimals) def set_force_constants_zero_with_radius(self, cutoff_radius): cutoff_force_constants(self._force_constants, self._supercell, cutoff_radius, symprec=self._symprec) def set_force_constants(self, force_constants): self._force_constants = force_constants def set_force_sets(self, sets_of_forces_objects): self._set_of_forces_objects = sets_of_forces_objects def symmetrize_force_constants(self, iteration=3): symmetrize_force_constants(self._force_constants, iteration) def get_force_constants(self): return self._force_constants force_constants = property(get_force_constants) def get_rotational_condition_of_fc(self): return rotational_invariance(self._force_constants, self._supercell, self._primitive, self._symprec) def get_dynamical_matrix_at_q(self, q): self._dynamical_matrix.set_dynamical_matrix(q) return self._dynamical_matrix.get_dynamical_matrix() # Frequency at a q-point def get_frequencies(self, q): """ Calculate phonon frequencies at q q: q-vector in reduced coordinates of primitive cell """ self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] for eig in np.linalg.eigvalsh(dm).real: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor # Frequency and eigenvector at a q-point def get_frequencies_with_eigenvectors(self, q): """ Calculate phonon frequencies and eigenvectors at q q: q-vector in reduced coordinates of primitive cell """ self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] eigvals, eigenvectors = np.linalg.eigh(dm) frequencies = [] for eig in eigvals: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor, eigenvectors ## This expression may not be supported in old python versions. # frequencies = np.array( # [np.sqrt(x) if x > 0 else -np.sqrt(-x) for x in eigvals]) # return frequencies * self._factor, eigenvectors # Band structure def set_band_structure(self, bands, is_eigenvectors=False, is_band_connection=False): self._band_structure = BandStructure( bands, self._dynamical_matrix, self._primitive, is_eigenvectors=is_eigenvectors, is_band_connection=is_band_connection, group_velocity=self._group_velocity, factor=self._factor) def get_band_structure(self): band = self._band_structure return (band.get_qpoints(), band.get_distances(), band.get_frequencies(), band.get_eigenvectors()) def plot_band_structure(self, symbols=None): return self._band_structure.plot_band(symbols) def write_yaml_band_structure(self): self._band_structure.write_yaml() # Mesh sampling def set_mesh(self, mesh, shift=None, is_time_reversal=True, is_symmetry=True, is_band_connection=False, is_eigenvectors=False, is_gamma_center=False): self._mesh = Mesh(self._dynamical_matrix, self._primitive, mesh, shift=shift, is_time_reversal=is_time_reversal, is_mesh_symmetry=is_symmetry, is_eigenvectors=is_eigenvectors, is_band_connection=is_band_connection, is_gamma_center=is_gamma_center, group_velocity=self._group_velocity, factor=self._factor, symprec=self._symprec) def get_mesh(self): return (self._mesh.get_qpoints(), self._mesh.get_weights(), self._mesh.get_frequencies(), self._mesh.get_eigenvectors()) def write_yaml_mesh(self): self._mesh.write_yaml() def write_hdf5_mesh(self): self._mesh.write_hdf5() # Thermal property def set_thermal_properties(self, t_step=10, t_max=1000, t_min=0, is_projection=False, cutoff_frequency=None): if self._mesh == None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) tp = ThermalProperties(self._mesh.get_frequencies(), weights=self._mesh.get_weights(), eigenvectors=self._mesh.get_eigenvectors(), is_projection=is_projection, cutoff_frequency=cutoff_frequency) tp.set_thermal_properties(t_step, t_max, t_min) self._thermal_properties = tp def get_thermal_properties(self): temps, fe, entropy, cv = \ self._thermal_properties.get_thermal_properties() return temps, fe, entropy, cv def plot_thermal_properties(self): return self._thermal_properties.plot_thermal_properties() def write_yaml_thermal_properties(self, filename='thermal_properties.yaml'): self._thermal_properties.write_yaml(filename=filename) # Partial DOS def set_partial_DOS(self, sigma=None, omega_min=None, omega_max=None, omega_pitch=None, tetrahedron_method=False): if self._mesh == None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) if self._mesh.get_eigenvectors() == None: print "Eigenvectors have to be calculated." sys.exit(1) pdos = PartialDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method) pdos.set_draw_area(omega_min, omega_max, omega_pitch) pdos.calculate() self._pdos = pdos def get_partial_DOS(self): """ Retern omegas and partial_dos. The first element is omegas and the second is partial_dos. omegas: [freq1, freq2, ...] partial_dos: [[elem1-freq1, elem1-freq2, ...], [elem2-freq1, elem2-freq2, ...], ...] where elem1: atom1-x compornent elem2: atom1-y compornent elem3: atom1-z compornent elem4: atom2-x compornent ... """ return self._pdos.get_partial_dos() def plot_partial_DOS(self, pdos_indices=None, legend=None): return self._pdos.plot_pdos(indices=pdos_indices, legend=legend) def write_partial_DOS(self): self._pdos.write() # Total DOS def set_total_DOS(self, sigma=None, omega_min=None, omega_max=None, omega_pitch=None, tetrahedron_method=False): if self._mesh == None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) total_dos = TotalDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method) total_dos.set_draw_area(omega_min, omega_max, omega_pitch) total_dos.calculate() self._total_dos = total_dos def get_total_DOS(self): """ Retern omegas and total dos. The first element is omegas and the second is total dos. omegas: [freq1, freq2, ...] total_dos: [dos1, dos2, ...] """ return self._total_dos.get_dos() def set_Debye_frequency(self, freq_max_fit=None): self._total_dos.set_Debye_frequency( self._primitive.get_number_of_atoms(), freq_max_fit) def get_Debye_frequency(self): return self._total_dos.get_Debye_frequency() def plot_total_DOS(self): return self._total_dos.plot_dos() def write_total_DOS(self): self._total_dos.write() # Thermal displacement def set_thermal_displacements(self, t_step=10, t_max=1000, t_min=0, direction=None, cutoff_eigenvalue=None): """ cutoff_eigenvalue: phonon modes that have frequencies below cutoff_eigenvalue are ignored. e.g. 0.1 (THz^2) direction: Projection direction in reduced coordinates """ if self._mesh == None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if np.prod(mesh_nums) != len(eigvecs): print "Sampling mesh must not be symmetrized." sys.exit(1) td = ThermalDisplacements(frequencies, eigvecs, self._primitive.get_masses(), cutoff_eigenvalue=cutoff_eigenvalue) td.set_temperature_range(t_min, t_max, t_step) if direction is not None: td.project_eigenvectors(direction, self._primitive.get_cell()) # td.run() td.run_mesh() self._thermal_displacements = td def get_thermal_displacements(self): if self._thermal_displacements is not None: return self._thermal_displacements.get_thermal_displacements() def plot_thermal_displacements(self, is_legend=False): return self._thermal_displacements.plot(is_legend) def write_yaml_thermal_displacements(self): self._thermal_displacements.write_yaml() def write_hdf5_thermal_displacements(self): self._thermal_displacements.write_hdf5() # Thermal displacement matrices def set_thermal_displacement_matrices(self, t_step=10, t_max=1000, t_min=0, cutoff_eigenvalue=None): """ cutoff_eigenvalue: phonon modes that have frequencies below cutoff_eigenvalue are ignored. e.g. 0.1 (THz^2) direction: Projection direction in reduced coordinates """ if self._mesh == None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if np.prod(mesh_nums) != len(eigvecs): print "Sampling mesh must not be symmetrized." sys.exit(1) tdm = ThermalDisplacementMatrices(frequencies, eigvecs, self._primitive.get_masses(), cutoff_eigenvalue=cutoff_eigenvalue) tdm.set_temperature_range(t_min, t_max, t_step) # tdm.run() tdm.run_mesh() self._thermal_displacement_matrices = tdm def get_thermal_displacement_matrices(self): if self._thermal_displacement_matrices is not None: return self._thermal_displacement_matrices.get_thermal_displacement_matrices( ) def write_yaml_thermal_displacement_matrices(self): self._thermal_displacement_matrices.write_yaml() def write_hdf5_thermal_displacement_matrices(self): self._thermal_displacement_matrices.write_hdf5() # Thermal displacement def set_thermal_distances(self, atom_pairs, t_step=10, t_max=1000, t_min=0, cutoff_eigenvalue=None): """ atom_pairs: List of list Mean square distances are calculated for the atom_pairs e.g. [[1, 2], [1, 4]] cutoff_eigenvalue: phonon modes that have frequencies below cutoff_eigenvalue are ignored. e.g. 0.1 (THz^2) """ td = ThermalDistances(self._mesh.get_frequencies(), self._mesh.get_eigenvectors(), self._supercell, self._primitive, self._mesh.get_qpoints(), symprec=self._symprec, cutoff_eigenvalue=cutoff_eigenvalue) td.set_temperature_range(t_min, t_max, t_step) # td.run(atom_pairs) td.run_mesh(atom_pairs) self._thermal_distances = td def write_yaml_thermal_distances(self): self._thermal_distances.write_yaml() def write_hdf5_thermal_distances(self): self._thermal_distances.write_hdf5() # Q-points mode def write_yaml_qpoints(self, q_points, nac_q_direction=None, is_eigenvectors=False, write_dynamical_matrices=False, factor=VaspToTHz): write_yaml_qpoints(q_points, self._primitive, self._dynamical_matrix, nac_q_direction=nac_q_direction, is_eigenvectors=is_eigenvectors, group_velocity=self._group_velocity, write_dynamical_matrices=write_dynamical_matrices, factor=self._factor) # Animation def write_animation(self, q_point=None, anime_type='v_sim', band_index=None, amplitude=None, num_div=None, shift=None, filename=None): if q_point == None: animation = Animation([0, 0, 0], self._dynamical_matrix, self._primitive, shift=shift) else: animation = Animation(q_point, self._dynamical_matrix, self._primitive, shift=shift) if anime_type == 'v_sim': if amplitude: amplitude_ = amplitude else: amplitude_ = 1.0 if filename: animation.write_v_sim(amplitude=amplitude_, factor=self._factor, filename=filename) else: animation.write_v_sim(amplitude=amplitude_, factor=self._factor) if (anime_type == 'arc' or anime_type == 'xyz' or anime_type == 'jmol' or anime_type == 'poscar'): if band_index == None or amplitude == None or num_div == None: print "Parameters are not correctly set for animation." sys.exit(1) if anime_type == 'arc' or anime_type == None: if filename: animation.write_arc(band_index, amplitude, num_div, filename=filename) else: animation.write_arc(band_index, amplitude, num_div) if anime_type == 'xyz': if filename: animation.write_xyz(band_index, amplitude, num_div, self._factor, filename=filename) else: animation.write_xyz(band_index, amplitude, num_div, self._factor) if anime_type == 'jmol': if filename: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor, filename=filename) else: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor) if anime_type == 'poscar': if filename: animation.write_POSCAR(band_index, amplitude, num_div, filename=filename) else: animation.write_POSCAR(band_index, amplitude, num_div) # Modulation def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): self._modulation = Modulation(self._dynamical_matrix, self._primitive, dimension=dimension, phonon_modes=phonon_modes, delta_q=delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run() def get_modulations(self): """Returns cells with modulations as Atoms objects""" return self._modulation.get_modulations() def get_delta_modulations(self): """Return modulations relative to equilibrium supercell (modulations, supercell) modulations: Atomic modulations of supercell in Cartesian coordinates supercell: Supercell as an Atoms object. """ return self._modulation.get_delta_modulations() def write_modulations(self): """Create MPOSCAR's""" self._modulation.write() def write_yaml_modulations(self): self._modulation.write_yaml() # Characters of irreducible representations def set_irreps(self, q, degeneracy_tolerance=1e-4): self._irreps = IrReps(self._dynamical_matrix, q, factor=self._factor, symprec=self._symprec, degeneracy_tolerance=degeneracy_tolerance, log_level=self._log_level) return self._irreps.run() def get_irreps(self): return self._irreps def show_irreps(self, show_irreps=False): self._irreps.show(show_irreps=show_irreps) def write_yaml_irreps(self, show_irreps=False): self._irreps.write_yaml(show_irreps=show_irreps) # Group velocity def set_group_velocity(self, q_points=None, q_length=1e-4): self._group_velocity = GroupVelocity( self._dynamical_matrix, q_points=q_points, symmetry=self._symmetry, q_length=q_length, frequency_factor_to_THz=self._factor) def get_group_velocity(self, q_point): self._group_velocity.set_q_points([q_point]) return self._group_velocity.get_group_velocity()[0] def _set_supercell(self): self._supercell = get_supercell(self._unitcell, self._supercell_matrix, self._symprec) def _set_symmetry(self): self._symmetry = Symmetry(self._supercell, self._symprec, self._is_symmetry) def _set_supercells_with_displacements(self): supercells = [] for disp in self._displacements: positions = self._supercell.get_positions() positions[disp[0]] += disp[1:4] supercells.append( Atoms(numbers=self._supercell.get_atomic_numbers(), masses=self._supercell.get_masses(), magmoms=self._supercell.get_magnetic_moments(), positions=positions, cell=self._supercell.get_cell(), pbc=True)) self._supercells_with_displacements = supercells
class Phonopy: def __init__(self, unitcell, supercell_matrix, primitive_matrix=None, nac_params=None, distance=0.01, factor=VaspToTHz, is_auto_displacements=True, dynamical_matrix_decimals=None, force_constants_decimals=None, symprec=1e-5, is_symmetry=True, log_level=0): self._symprec = symprec self._factor = factor self._is_symmetry = is_symmetry self._log_level = log_level # Create supercell and primitive cell self._unitcell = unitcell self._supercell_matrix = supercell_matrix self._primitive_matrix = primitive_matrix self._supercell = None self._primitive = None self._build_supercell() self._build_primitive_cell() # Set supercell and primitive symmetry self._symmetry = None self._primitive_symmetry = None self._search_symmetry() self._search_primitive_symmetry() # set_displacements (used only in preprocess) self._displacement_dataset = None self._displacements = None self._displacement_directions = None self._supercells_with_displacements = None if is_auto_displacements: self.generate_displacements(distance=distance) # set_force_constants or set_forces self._force_constants = None self._force_constants_decimals = force_constants_decimals # set_dynamical_matrix self._dynamical_matrix = None self._nac_params = nac_params self._dynamical_matrix_decimals = dynamical_matrix_decimals # set_band_structure self._band_structure = None # set_mesh self._mesh = None # set_tetrahedron_method self._tetrahedron_method = None # set_thermal_properties self._thermal_properties = None # set_thermal_displacements self._thermal_displacements = None # set_thermal_displacement_matrices self._thermal_displacement_matrices = None # set_partial_DOS self._pdos = None # set_total_DOS self._total_dos = None # set_modulation self._modulation = None # set_character_table self._irreps = None # set_group_velocity self._group_velocity = None def set_post_process(self, primitive_matrix=None, sets_of_forces=None, displacement_dataset=None, force_constants=None, is_nac=None): print print ("********************************** Warning" "**********************************") print "set_post_process will be obsolete." print (" produce_force_constants is used instead of set_post_process" " for producing") print (" force constants from forces.") if primitive_matrix is not None: print (" primitive_matrix has to be given at Phonopy::__init__" " object creation.") print ("******************************************" "**********************************") print if primitive_matrix is not None: self._primitive_matrix = primitive_matrix self._build_primitive_cell() self._search_primitive_symmetry() if sets_of_forces is not None: self.set_forces(sets_of_forces) elif displacement_dataset is not None: self._displacement_dataset = displacement_dataset elif force_constants is not None: self.set_force_constants(force_constants) if self._displacement_dataset is not None: self.produce_force_constants() def set_masses(self, masses): p_masses = np.array(masses) self._primitive.set_masses(p_masses) p2p_map = self._primitive.get_primitive_to_primitive_map() s_masses = p_masses[[p2p_map[x] for x in self._primitive.get_supercell_to_primitive_map()]] self._supercell.set_masses(s_masses) u2s_map = self._supercell.get_unitcell_to_supercell_map() u_masses = s_masses[u2s_map] self._unitcell.set_masses(u_masses) def get_primitive(self): return self._primitive primitive = property(get_primitive) def get_unitcell(self): return self._unitcell unitcell = property(get_unitcell) def get_supercell(self): return self._supercell supercell = property(get_supercell) def set_supercell(self, supercell): self._supercell = supercell def get_symmetry(self): """return symmetry of supercell""" return self._symmetry symmetry = property(get_symmetry) def get_primitive_symmetry(self): """return symmetry of primitive cell""" return self._primitive_symmetry def get_unit_conversion_factor(self): return self._factor unit_conversion_factor = property(get_unit_conversion_factor) def produce_force_constants(self, forces=None, calculate_full_force_constants=True, computation_algorithm="svd"): if forces is not None: self.set_forces(forces) if calculate_full_force_constants: self._run_force_constants_from_forces( decimals=self._force_constants_decimals, computation_algorithm=computation_algorithm) else: p2s_map = self._primitive.get_primitive_to_supercell_map() self._run_force_constants_from_forces( distributed_atom_list=p2s_map, decimals=self._force_constants_decimals, computation_algorithm=computation_algorithm) def set_nac_params(self, nac_params=None, method=None): if method is not None: print "set_nac_params:" print " Keyword argument of \"method\" is not more supported." self._nac_params = nac_params def generate_displacements(self, distance=0.01, is_plusminus='auto', is_diagonal=True, is_trigonal=False): """Generate displacements automatically displacemsts: List of displacements in Cartesian coordinates. [[0, 0.01, 0.00, 0.00], ...] where each set of elements is defined by: First value: Atom index in supercell starting with 0 Second to fourth: Displacement in Cartesian coordinates displacement_directions: List of directions with respect to axes. This gives only the symmetrically non equivalent directions. The format is like: [[0, 1, 0, 0], [7, 1, 0, 1], ...] where each list is defined by: First value: Atom index in supercell starting with 0 Second to fourth: If the direction is displaced or not ( 1, 0, or -1 ) with respect to the axes. """ displacement_directions = get_least_displacements( self._symmetry, is_plusminus=is_plusminus, is_diagonal=is_diagonal, is_trigonal=is_trigonal, log_level=self._log_level) displacement_dataset = direction_to_displacement( displacement_directions, distance, self._supercell) self.set_displacement_dataset(displacement_dataset) def set_displacements(self, displacements): print print ("********************************** Warning" "**********************************") print "set_displacements is obsolete. Do nothing." print ("******************************************" "**********************************") print def get_displacements(self): return self._displacements displacements = property(get_displacements) def get_displacement_directions(self): return self._displacement_directions displacement_directions = property(get_displacement_directions) def get_displacement_dataset(self): return self._displacement_dataset def get_supercells_with_displacements(self): if self._displacement_dataset is None: return None else: self._build_supercells_with_displacements() return self._supercells_with_displacements def get_dynamical_matrix(self): return self._dynamical_matrix dynamical_matrix = property(get_dynamical_matrix) def set_forces(self, sets_of_forces): """ sets_of_forces: [[[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # first supercell [[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # second supercell ... ] """ for disp, forces in zip( self._displacement_dataset['first_atoms'], sets_of_forces): disp['forces'] = forces def set_force_constants_zero_with_radius(self, cutoff_radius): cutoff_force_constants(self._force_constants, self._supercell, cutoff_radius, symprec=self._symprec) def set_force_constants(self, force_constants): self._force_constants = force_constants def set_force_sets(self, force_sets): print print ("********************************** Warning" "**********************************") print "set_force_sets will be obsolete." print (" The method name is changed to set_displacement_dataset.") print ("******************************************" "**********************************") print self.set_displacement_dataset(force_sets) def set_displacement_dataset(self, displacement_dataset): """ displacement_dataset: {'natom': number_of_atoms_in_supercell, 'first_atoms': [ {'number': atom index of displaced atom, 'displacement': displacement in Cartesian coordinates, 'direction': displacement direction with respect to axes 'forces': forces on atoms in supercell}, {...}, ...]} """ self._displacement_dataset = displacement_dataset self._displacements = [] self._displacement_directions = [] for disp in self._displacement_dataset['first_atoms']: x = disp['displacement'] self._displacements.append([disp['number'], x[0], x[1], x[2]]) if 'direction' in disp: y = disp['direction'] self._displacement_directions.append( [disp['number'], y[0], y[1], y[2]]) if not self._displacement_directions: self._displacement_directions = None def symmetrize_force_constants(self, iteration=3): symmetrize_force_constants(self._force_constants, iteration) def symmetrize_force_constants_by_space_group(self): rotations = self._symmetry.get_symmetry_operations()['rotations'] translations = self._symmetry.get_symmetry_operations()['translations'] set_tensor_symmetry(self._force_constants, self._supercell.get_cell().T, self._supercell.get_scaled_positions(), rotations, translations, self._symprec) def get_force_constants(self): return self._force_constants force_constants = property(get_force_constants) def get_rotational_condition_of_fc(self): return rotational_invariance(self._force_constants, self._supercell, self._primitive, self._symprec) def set_dynamical_matrix(self): self._set_dynamical_matrix() def get_dynamical_matrix_at_q(self, q): self._set_dynamical_matrix() self._dynamical_matrix.set_dynamical_matrix(q) return self._dynamical_matrix.get_dynamical_matrix() def get_frequencies(self, q): """ Calculate phonon frequencies at q q: q-vector in reduced coordinates of primitive cell """ self._set_dynamical_matrix() self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] for eig in np.linalg.eigvalsh(dm).real: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor def get_frequencies_with_eigenvectors(self, q): """ Calculate phonon frequencies and eigenvectors at q q: q-vector in reduced coordinates of primitive cell """ self._set_dynamical_matrix() self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] eigvals, eigenvectors = np.linalg.eigh(dm) frequencies = [] for eig in eigvals: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor, eigenvectors def set_band_structure(self, bands, is_eigenvectors=False, is_band_connection=False): self._set_dynamical_matrix() self._band_structure = BandStructure( bands, self._dynamical_matrix, is_eigenvectors=is_eigenvectors, is_band_connection=is_band_connection, group_velocity=self._group_velocity, factor=self._factor) def get_band_structure(self): band = self._band_structure return (band.get_qpoints(), band.get_distances(), band.get_frequencies(), band.get_eigenvectors()) def plot_band_structure(self, symbols=None): return self._band_structure.plot_band(symbols) def write_yaml_band_structure(self): self._band_structure.write_yaml() def set_mesh(self, mesh, shift=None, is_time_reversal=True, is_mesh_symmetry=True, is_eigenvectors=False, is_gamma_center=False): self._set_dynamical_matrix() self._mesh = Mesh( self._dynamical_matrix, mesh, shift=shift, is_time_reversal=is_time_reversal, is_mesh_symmetry=is_mesh_symmetry, is_eigenvectors=is_eigenvectors, is_gamma_center=is_gamma_center, group_velocity=self._group_velocity, rotations=self._primitive_symmetry.get_pointgroup_operations(), factor=self._factor) def get_mesh(self): return (self._mesh.get_qpoints(), self._mesh.get_weights(), self._mesh.get_frequencies(), self._mesh.get_eigenvectors()) def write_yaml_mesh(self): self._mesh.write_yaml() def set_thermal_properties(self, t_step=10, t_max=1000, t_min=0, is_projection=False, band_indices=None, cutoff_frequency=None): if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" return False else: tp = ThermalProperties(self._mesh.get_frequencies(), weights=self._mesh.get_weights(), eigenvectors=self._mesh.get_eigenvectors(), is_projection=is_projection, band_indices=band_indices, cutoff_frequency=cutoff_frequency) tp.set_thermal_properties(t_step=t_step, t_max=t_max, t_min=t_min) self._thermal_properties = tp def get_thermal_properties(self): temps, fe, entropy, cv = \ self._thermal_properties.get_thermal_properties() return temps, fe, entropy, cv def plot_thermal_properties(self): return self._thermal_properties.plot_thermal_properties() def write_yaml_thermal_properties(self, filename='thermal_properties.yaml'): self._thermal_properties.write_yaml(filename=filename) def set_partial_DOS(self, sigma=None, freq_min=None, freq_max=None, freq_pitch=None, tetrahedron_method=False, direction=None): if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if direction is not None: direction_cart = np.dot(direction, self._primitive.get_cell()) else: direction_cart = None pdos = PartialDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method, direction=direction_cart) pdos.set_draw_area(freq_min, freq_max, freq_pitch) pdos.run() self._pdos = pdos def get_partial_DOS(self): """ Retern frequencies and partial_dos. The first element is freqs and the second is partial_dos. frequencies: [freq1, freq2, ...] partial_dos: [[atom1-freq1, atom1-freq2, ...], [atom2-freq1, atom2-freq2, ...], ...] """ return self._pdos.get_partial_dos() def plot_partial_DOS(self, pdos_indices=None, legend=None): return self._pdos.plot_pdos(indices=pdos_indices, legend=legend) def write_partial_DOS(self): self._pdos.write() def set_total_DOS(self, sigma=None, freq_min=None, freq_max=None, freq_pitch=None, tetrahedron_method=False): if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) total_dos = TotalDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method) total_dos.set_draw_area(freq_min, freq_max, freq_pitch) total_dos.run() self._total_dos = total_dos def get_total_DOS(self): """ Retern frequencies and total dos. The first element is freqs and the second is total dos. frequencies: [freq1, freq2, ...] total_dos: [dos1, dos2, ...] """ return self._total_dos.get_dos() def set_Debye_frequency(self, freq_max_fit=None): self._total_dos.set_Debye_frequency( self._primitive.get_number_of_atoms(), freq_max_fit=freq_max_fit) def get_Debye_frequency(self): return self._total_dos.get_Debye_frequency() def plot_total_DOS(self): return self._total_dos.plot_dos() def write_total_DOS(self): self._total_dos.write() def set_thermal_displacements(self, t_step=10, t_max=1000, t_min=0, direction=None, cutoff_frequency=None): """ cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. direction: Projection direction in reduced coordinates """ if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if np.prod(mesh_nums) != len(eigvecs): print "Sampling mesh must not be symmetrized." sys.exit(1) td = ThermalDisplacements(frequencies, eigvecs, self._primitive.get_masses(), cutoff_frequency=cutoff_frequency) td.set_temperature_range(t_min, t_max, t_step) if direction is not None: td.project_eigenvectors(direction, self._primitive.get_cell()) td.run() self._thermal_displacements = td def get_thermal_displacements(self): if self._thermal_displacements is not None: return self._thermal_displacements.get_thermal_displacements() def plot_thermal_displacements(self, is_legend=False): return self._thermal_displacements.plot(is_legend) def write_yaml_thermal_displacements(self): self._thermal_displacements.write_yaml() def set_thermal_displacement_matrices(self, t_step=10, t_max=1000, t_min=0, cutoff_frequency=None): """ cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. direction: Projection direction in reduced coordinates """ if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if np.prod(mesh_nums) != len(eigvecs): print "Sampling mesh must not be symmetrized." sys.exit(1) tdm = ThermalDisplacementMatrices(frequencies, eigvecs, self._primitive.get_masses(), cutoff_frequency=cutoff_frequency) tdm.set_temperature_range(t_min, t_max, t_step) tdm.run() self._thermal_displacement_matrices = tdm def get_thermal_displacement_matrices(self): if self._thermal_displacement_matrices is not None: return self._thermal_displacement_matrices.get_thermal_displacement_matrices() def write_yaml_thermal_displacement_matrices(self): self._thermal_displacement_matrices.write_yaml() def set_thermal_distances(self, atom_pairs, t_step=10, t_max=1000, t_min=0, cutoff_frequency=None): """ atom_pairs: List of list Mean square distances are calculated for the atom_pairs e.g. [[1, 2], [1, 4]] cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. """ td = ThermalDistances(self._mesh.get_frequencies(), self._mesh.get_eigenvectors(), self._supercell, self._primitive, self._mesh.get_qpoints(), cutoff_frequency=cutoff_frequency) td.set_temperature_range(t_min, t_max, t_step) td.run(atom_pairs) self._thermal_distances = td def write_yaml_thermal_distances(self): self._thermal_distances.write_yaml() def set_qpoints_phonon(self, q_points, nac_q_direction=None, is_eigenvectors=False, write_dynamical_matrices=False, factor=VaspToTHz): self._set_dynamical_matrix() self._qpoints_phonon = QpointsPhonon( q_points, self._dynamical_matrix, nac_q_direction=nac_q_direction, is_eigenvectors=is_eigenvectors, group_velocity=self._group_velocity, write_dynamical_matrices=write_dynamical_matrices, factor=self._factor) def get_qpoints_phonon(self): return (self._qpoints_phonon.get_frequencies(), self._qpoints_phonon.get_eigenvectors()) def write_yaml_qpoints_phonon(self): self._qpoints_phonon.write_yaml() def write_animation(self, q_point=None, anime_type='v_sim', band_index=None, amplitude=None, num_div=None, shift=None, filename=None): self._set_dynamical_matrix() if q_point is None: animation = Animation([0, 0, 0], self._dynamical_matrix, shift=shift) else: animation = Animation(q_point, self._dynamical_matrix, shift=shift) if anime_type == 'v_sim': if amplitude: amplitude_ = amplitude else: amplitude_ = 1.0 if filename: animation.write_v_sim(amplitude=amplitude_, factor=self._factor, filename=filename) else: animation.write_v_sim(amplitude=amplitude_, factor=self._factor) if (anime_type == 'arc' or anime_type == 'xyz' or anime_type == 'jmol' or anime_type == 'poscar'): if band_index is None or amplitude is None or num_div is None: print "Parameters are not correctly set for animation." sys.exit(1) if anime_type == 'arc' or anime_type is None: if filename: animation.write_arc(band_index, amplitude, num_div, filename=filename) else: animation.write_arc(band_index, amplitude, num_div) if anime_type == 'xyz': if filename: animation.write_xyz(band_index, amplitude, num_div, self._factor, filename=filename) else: animation.write_xyz(band_index, amplitude, num_div, self._factor) if anime_type == 'jmol': if filename: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor, filename=filename) else: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor) if anime_type == 'poscar': if filename: animation.write_POSCAR(band_index, amplitude, num_div, filename=filename) else: animation.write_POSCAR(band_index, amplitude, num_div) def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): self._set_dynamical_matrix() self._modulation = Modulation(self._dynamical_matrix, dimension, phonon_modes, delta_q=delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run() def get_modulations(self): """Returns cells with modulations as Atoms objects""" return self._modulation.get_modulations() def get_delta_modulations(self): """Return modulations relative to equilibrium supercell (modulations, supercell) modulations: Atomic modulations of supercell in Cartesian coordinates supercell: Supercell as an Atoms object. """ return self._modulation.get_delta_modulations() def write_modulations(self): """Create MPOSCAR's""" self._modulation.write() def write_yaml_modulations(self): self._modulation.write_yaml() def set_irreps(self, q, is_little_cogroup=False, nac_q_direction=None, degeneracy_tolerance=1e-4): self._set_dynamical_matrix() self._irreps = IrReps( self._dynamical_matrix, q, is_little_cogroup=is_little_cogroup, nac_q_direction=nac_q_direction, factor=self._factor, symprec=self._symprec, degeneracy_tolerance=degeneracy_tolerance, log_level=self._log_level) return self._irreps.run() def get_irreps(self): return self._irreps def show_irreps(self, show_irreps=False): self._irreps.show(show_irreps=show_irreps) def write_yaml_irreps(self, show_irreps=False): self._irreps.write_yaml(show_irreps=show_irreps) def set_group_velocity(self, q_length=None): self._set_dynamical_matrix() self._group_velocity = GroupVelocity( self._dynamical_matrix, q_length=q_length, symmetry=self._primitive_symmetry, frequency_factor_to_THz=self._factor) def get_group_velocity(self): return self._group_velocity.get_group_velocity() def get_group_velocity_at_q(self, q_point): if self._group_velocity is None: self.set_group_velocity() self._group_velocity.set_q_points([q_point]) return self._group_velocity.get_group_velocity()[0] def _run_force_constants_from_forces(self, distributed_atom_list=None, decimals=None, computation_algorithm="svd"): if self._displacement_dataset is not None: self._force_constants = get_fc2( self._supercell, self._symmetry, self._displacement_dataset, atom_list=distributed_atom_list, decimals=decimals, computation_algorithm=computation_algorithm) def _set_dynamical_matrix(self): if self._nac_params is None: self._dynamical_matrix = DynamicalMatrix( self._supercell, self._primitive, self._force_constants, decimals=self._dynamical_matrix_decimals, symprec=self._symprec) else: self._dynamical_matrix = DynamicalMatrixNAC( self._supercell, self._primitive, self._force_constants, nac_params=self._nac_params, decimals=self._dynamical_matrix_decimals, symprec=self._symprec) def _search_symmetry(self): self._symmetry = Symmetry(self._supercell, self._symprec, self._is_symmetry) def _search_primitive_symmetry(self): self._primitive_symmetry = Symmetry(self._primitive, self._symprec, self._is_symmetry) if (len(self._symmetry.get_pointgroup_operations()) != len(self._primitive_symmetry.get_pointgroup_operations())): print ("Warning: point group symmetries of supercell and primitive" "cell are different.") def _build_supercell(self): self._supercell = get_supercell(self._unitcell, self._supercell_matrix, self._symprec) def _build_supercells_with_displacements(self): supercells = [] for disp in self._displacement_dataset['first_atoms']: positions = self._supercell.get_positions() positions[disp['number']] += disp['displacement'] supercells.append(Atoms( numbers=self._supercell.get_atomic_numbers(), masses=self._supercell.get_masses(), magmoms=self._supercell.get_magnetic_moments(), positions=positions, cell=self._supercell.get_cell(), pbc=True)) self._supercells_with_displacements = supercells def _build_primitive_cell(self): """ primitive_matrix: Relative axes of primitive cell to the input unit cell. Relative axes to the supercell is calculated by: supercell_matrix^-1 * primitive_matrix Therefore primitive cell lattice is finally calculated by: (supercell_lattice * (supercell_matrix)^-1 * primitive_matrix)^T """ inv_supercell_matrix = np.linalg.inv(self._supercell_matrix) if self._primitive_matrix is None: trans_mat = inv_supercell_matrix else: trans_mat = np.dot(inv_supercell_matrix, self._primitive_matrix) self._primitive = get_primitive( self._supercell, trans_mat, self._symprec) num_satom = self._supercell.get_number_of_atoms() num_patom = self._primitive.get_number_of_atoms() if abs(num_satom * np.linalg.det(trans_mat) - num_patom) < 0.1: return True else: return False
class Phonopy: def __init__(self, unitcell, supercell_matrix, primitive_matrix=None, nac_params=None, distance=0.01, factor=VaspToTHz, is_auto_displacements=True, dynamical_matrix_decimals=None, force_constants_decimals=None, symprec=1e-5, is_symmetry=True, log_level=0): self._symprec = symprec self._factor = factor self._is_symmetry = is_symmetry self._log_level = log_level # Create supercell and primitive cell self._unitcell = unitcell self._supercell_matrix = supercell_matrix self._primitive_matrix = primitive_matrix self._supercell = None self._primitive = None self._build_supercell() self._build_primitive_cell() # Set supercell and primitive symmetry self._symmetry = None self._primitive_symmetry = None self._search_symmetry() self._search_primitive_symmetry() # set_displacements (used only in preprocess) self._displacement_dataset = None self._displacements = None self._displacement_directions = None self._supercells_with_displacements = None if is_auto_displacements: self.generate_displacements(distance=distance) # set_force_constants or set_forces self._force_constants = None self._force_constants_decimals = force_constants_decimals # set_dynamical_matrix self._dynamical_matrix = None self._nac_params = nac_params self._dynamical_matrix_decimals = dynamical_matrix_decimals # set_band_structure self._band_structure = None # set_mesh self._mesh = None # set_tetrahedron_method self._tetrahedron_method = None # set_thermal_properties self._thermal_properties = None # set_thermal_displacements self._thermal_displacements = None # set_thermal_displacement_matrices self._thermal_displacement_matrices = None # set_partial_DOS self._pdos = None # set_total_DOS self._total_dos = None # set_modulation self._modulation = None # set_character_table self._irreps = None # set_group_velocity self._group_velocity = None def set_post_process(self, primitive_matrix=None, sets_of_forces=None, displacement_dataset=None, force_constants=None, is_nac=None): print print( "********************************** Warning" "**********************************") print "set_post_process will be obsolete." print( " produce_force_constants is used instead of set_post_process" " for producing") print(" force constants from forces.") if primitive_matrix is not None: print( " primitive_matrix has to be given at Phonopy::__init__" " object creation.") print( "******************************************" "**********************************") print if primitive_matrix is not None: self._primitive_matrix = primitive_matrix self._build_primitive_cell() self._search_primitive_symmetry() if sets_of_forces is not None: self.set_forces(sets_of_forces) elif displacement_dataset is not None: self._displacement_dataset = displacement_dataset elif force_constants is not None: self.set_force_constants(force_constants) if self._displacement_dataset is not None: self.produce_force_constants() def set_masses(self, masses): p_masses = np.array(masses) self._primitive.set_masses(p_masses) p2p_map = self._primitive.get_primitive_to_primitive_map() s_masses = p_masses[[ p2p_map[x] for x in self._primitive.get_supercell_to_primitive_map() ]] self._supercell.set_masses(s_masses) u2s_map = self._supercell.get_unitcell_to_supercell_map() u_masses = s_masses[u2s_map] self._unitcell.set_masses(u_masses) def get_primitive(self): return self._primitive primitive = property(get_primitive) def get_unitcell(self): return self._unitcell unitcell = property(get_unitcell) def get_supercell(self): return self._supercell supercell = property(get_supercell) def set_supercell(self, supercell): self._supercell = supercell def get_symmetry(self): """return symmetry of supercell""" return self._symmetry symmetry = property(get_symmetry) def get_primitive_symmetry(self): """return symmetry of primitive cell""" return self._primitive_symmetry def get_unit_conversion_factor(self): return self._factor unit_conversion_factor = property(get_unit_conversion_factor) def produce_force_constants(self, forces=None, calculate_full_force_constants=True, computation_algorithm="svd"): if forces is not None: self.set_forces(forces) if calculate_full_force_constants: self._run_force_constants_from_forces( decimals=self._force_constants_decimals, computation_algorithm=computation_algorithm) else: p2s_map = self._primitive.get_primitive_to_supercell_map() self._run_force_constants_from_forces( distributed_atom_list=p2s_map, decimals=self._force_constants_decimals, computation_algorithm=computation_algorithm) def set_nac_params(self, nac_params=None, method=None): if method is not None: print "set_nac_params:" print " Keyword argument of \"method\" is not more supported." self._nac_params = nac_params def generate_displacements(self, distance=0.01, is_plusminus='auto', is_diagonal=True, is_trigonal=False): """Generate displacements automatically displacemsts: List of displacements in Cartesian coordinates. [[0, 0.01, 0.00, 0.00], ...] where each set of elements is defined by: First value: Atom index in supercell starting with 0 Second to fourth: Displacement in Cartesian coordinates displacement_directions: List of directions with respect to axes. This gives only the symmetrically non equivalent directions. The format is like: [[0, 1, 0, 0], [7, 1, 0, 1], ...] where each list is defined by: First value: Atom index in supercell starting with 0 Second to fourth: If the direction is displaced or not ( 1, 0, or -1 ) with respect to the axes. """ displacement_directions = get_least_displacements( self._symmetry, is_plusminus=is_plusminus, is_diagonal=is_diagonal, is_trigonal=is_trigonal, log_level=self._log_level) displacement_dataset = direction_to_displacement( displacement_directions, distance, self._supercell) self.set_displacement_dataset(displacement_dataset) def set_displacements(self, displacements): print print( "********************************** Warning" "**********************************") print "set_displacements is obsolete. Do nothing." print( "******************************************" "**********************************") print def get_displacements(self): return self._displacements displacements = property(get_displacements) def get_displacement_directions(self): return self._displacement_directions displacement_directions = property(get_displacement_directions) def get_displacement_dataset(self): return self._displacement_dataset def get_supercells_with_displacements(self): if self._displacement_dataset is None: return None else: self._build_supercells_with_displacements() return self._supercells_with_displacements def get_dynamical_matrix(self): return self._dynamical_matrix dynamical_matrix = property(get_dynamical_matrix) def set_forces(self, sets_of_forces): """ sets_of_forces: [[[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # first supercell [[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # second supercell ... ] """ for disp, forces in zip(self._displacement_dataset['first_atoms'], sets_of_forces): disp['forces'] = forces def set_force_constants_zero_with_radius(self, cutoff_radius): cutoff_force_constants(self._force_constants, self._supercell, cutoff_radius, symprec=self._symprec) def set_force_constants(self, force_constants): self._force_constants = force_constants def set_force_sets(self, force_sets): print print( "********************************** Warning" "**********************************") print "set_force_sets will be obsolete." print(" The method name is changed to set_displacement_dataset.") print( "******************************************" "**********************************") print self.set_displacement_dataset(force_sets) def set_displacement_dataset(self, displacement_dataset): """ displacement_dataset: {'natom': number_of_atoms_in_supercell, 'first_atoms': [ {'number': atom index of displaced atom, 'displacement': displacement in Cartesian coordinates, 'direction': displacement direction with respect to axes 'forces': forces on atoms in supercell}, {...}, ...]} """ self._displacement_dataset = displacement_dataset self._displacements = [] self._displacement_directions = [] for disp in self._displacement_dataset['first_atoms']: x = disp['displacement'] self._displacements.append([disp['number'], x[0], x[1], x[2]]) if 'direction' in disp: y = disp['direction'] self._displacement_directions.append( [disp['number'], y[0], y[1], y[2]]) if not self._displacement_directions: self._displacement_directions = None def symmetrize_force_constants(self, iteration=3): symmetrize_force_constants(self._force_constants, iteration) def symmetrize_force_constants_by_space_group(self): rotations = self._symmetry.get_symmetry_operations()['rotations'] translations = self._symmetry.get_symmetry_operations()['translations'] set_tensor_symmetry(self._force_constants, self._supercell.get_cell().T, self._supercell.get_scaled_positions(), rotations, translations, self._symprec) def get_force_constants(self): return self._force_constants force_constants = property(get_force_constants) def get_rotational_condition_of_fc(self): return rotational_invariance(self._force_constants, self._supercell, self._primitive, self._symprec) def set_dynamical_matrix(self): self._set_dynamical_matrix() def get_dynamical_matrix_at_q(self, q): self._set_dynamical_matrix() self._dynamical_matrix.set_dynamical_matrix(q) return self._dynamical_matrix.get_dynamical_matrix() def get_frequencies(self, q): """ Calculate phonon frequencies at q q: q-vector in reduced coordinates of primitive cell """ self._set_dynamical_matrix() self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] for eig in np.linalg.eigvalsh(dm).real: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor def get_frequencies_with_eigenvectors(self, q): """ Calculate phonon frequencies and eigenvectors at q q: q-vector in reduced coordinates of primitive cell """ self._set_dynamical_matrix() self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] eigvals, eigenvectors = np.linalg.eigh(dm) frequencies = [] for eig in eigvals: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor, eigenvectors def set_band_structure(self, bands, is_eigenvectors=False, is_band_connection=False): self._set_dynamical_matrix() self._band_structure = BandStructure( bands, self._dynamical_matrix, is_eigenvectors=is_eigenvectors, is_band_connection=is_band_connection, group_velocity=self._group_velocity, factor=self._factor) def get_band_structure(self): band = self._band_structure return (band.get_qpoints(), band.get_distances(), band.get_frequencies(), band.get_eigenvectors()) def plot_band_structure(self, symbols=None): return self._band_structure.plot_band(symbols) def write_yaml_band_structure(self): self._band_structure.write_yaml() def set_mesh(self, mesh, shift=None, is_time_reversal=True, is_mesh_symmetry=True, is_eigenvectors=False, is_gamma_center=False): self._set_dynamical_matrix() self._mesh = Mesh( self._dynamical_matrix, mesh, shift=shift, is_time_reversal=is_time_reversal, is_mesh_symmetry=is_mesh_symmetry, is_eigenvectors=is_eigenvectors, is_gamma_center=is_gamma_center, group_velocity=self._group_velocity, rotations=self._primitive_symmetry.get_pointgroup_operations(), factor=self._factor) def get_mesh(self): return (self._mesh.get_qpoints(), self._mesh.get_weights(), self._mesh.get_frequencies(), self._mesh.get_eigenvectors()) def write_yaml_mesh(self): self._mesh.write_yaml() def set_thermal_properties(self, t_step=10, t_max=1000, t_min=0, is_projection=False, band_indices=None, cutoff_frequency=None): if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" return False else: tp = ThermalProperties(self._mesh.get_frequencies(), weights=self._mesh.get_weights(), eigenvectors=self._mesh.get_eigenvectors(), is_projection=is_projection, band_indices=band_indices, cutoff_frequency=cutoff_frequency) tp.set_thermal_properties(t_step=t_step, t_max=t_max, t_min=t_min) self._thermal_properties = tp def get_thermal_properties(self): temps, fe, entropy, cv = \ self._thermal_properties.get_thermal_properties() return temps, fe, entropy, cv def plot_thermal_properties(self): return self._thermal_properties.plot_thermal_properties() def write_yaml_thermal_properties(self, filename='thermal_properties.yaml'): self._thermal_properties.write_yaml(filename=filename) def set_partial_DOS(self, sigma=None, freq_min=None, freq_max=None, freq_pitch=None, tetrahedron_method=False, direction=None): if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if direction is not None: direction_cart = np.dot(direction, self._primitive.get_cell()) else: direction_cart = None pdos = PartialDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method, direction=direction_cart) pdos.set_draw_area(freq_min, freq_max, freq_pitch) pdos.run() self._pdos = pdos def get_partial_DOS(self): """ Retern frequencies and partial_dos. The first element is freqs and the second is partial_dos. frequencies: [freq1, freq2, ...] partial_dos: [[atom1-freq1, atom1-freq2, ...], [atom2-freq1, atom2-freq2, ...], ...] """ return self._pdos.get_partial_dos() def plot_partial_DOS(self, pdos_indices=None, legend=None): return self._pdos.plot_pdos(indices=pdos_indices, legend=legend) def write_partial_DOS(self): self._pdos.write() def set_total_DOS(self, sigma=None, freq_min=None, freq_max=None, freq_pitch=None, tetrahedron_method=False): if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) total_dos = TotalDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method) total_dos.set_draw_area(freq_min, freq_max, freq_pitch) total_dos.run() self._total_dos = total_dos def get_total_DOS(self): """ Retern frequencies and total dos. The first element is freqs and the second is total dos. frequencies: [freq1, freq2, ...] total_dos: [dos1, dos2, ...] """ return self._total_dos.get_dos() def set_Debye_frequency(self, freq_max_fit=None): self._total_dos.set_Debye_frequency( self._primitive.get_number_of_atoms(), freq_max_fit=freq_max_fit) def get_Debye_frequency(self): return self._total_dos.get_Debye_frequency() def plot_total_DOS(self): return self._total_dos.plot_dos() def write_total_DOS(self): self._total_dos.write() def set_thermal_displacements(self, t_step=10, t_max=1000, t_min=0, direction=None, cutoff_frequency=None): """ cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. direction: Projection direction in reduced coordinates """ if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if np.prod(mesh_nums) != len(eigvecs): print "Sampling mesh must not be symmetrized." sys.exit(1) td = ThermalDisplacements(frequencies, eigvecs, self._primitive.get_masses(), cutoff_frequency=cutoff_frequency) td.set_temperature_range(t_min, t_max, t_step) if direction is not None: td.project_eigenvectors(direction, self._primitive.get_cell()) td.run() self._thermal_displacements = td def get_thermal_displacements(self): if self._thermal_displacements is not None: return self._thermal_displacements.get_thermal_displacements() def plot_thermal_displacements(self, is_legend=False): return self._thermal_displacements.plot(is_legend) def write_yaml_thermal_displacements(self): self._thermal_displacements.write_yaml() def set_thermal_displacement_matrices(self, t_step=10, t_max=1000, t_min=0, cutoff_frequency=None): """ cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. direction: Projection direction in reduced coordinates """ if self._mesh is None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if np.prod(mesh_nums) != len(eigvecs): print "Sampling mesh must not be symmetrized." sys.exit(1) tdm = ThermalDisplacementMatrices(frequencies, eigvecs, self._primitive.get_masses(), cutoff_frequency=cutoff_frequency) tdm.set_temperature_range(t_min, t_max, t_step) tdm.run() self._thermal_displacement_matrices = tdm def get_thermal_displacement_matrices(self): if self._thermal_displacement_matrices is not None: return self._thermal_displacement_matrices.get_thermal_displacement_matrices( ) def write_yaml_thermal_displacement_matrices(self): self._thermal_displacement_matrices.write_yaml() def set_thermal_distances(self, atom_pairs, t_step=10, t_max=1000, t_min=0, cutoff_frequency=None): """ atom_pairs: List of list Mean square distances are calculated for the atom_pairs e.g. [[1, 2], [1, 4]] cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. """ td = ThermalDistances(self._mesh.get_frequencies(), self._mesh.get_eigenvectors(), self._supercell, self._primitive, self._mesh.get_qpoints(), cutoff_frequency=cutoff_frequency) td.set_temperature_range(t_min, t_max, t_step) td.run(atom_pairs) self._thermal_distances = td def write_yaml_thermal_distances(self): self._thermal_distances.write_yaml() def set_qpoints_phonon(self, q_points, nac_q_direction=None, is_eigenvectors=False, write_dynamical_matrices=False, factor=VaspToTHz): self._set_dynamical_matrix() self._qpoints_phonon = QpointsPhonon( q_points, self._dynamical_matrix, nac_q_direction=nac_q_direction, is_eigenvectors=is_eigenvectors, group_velocity=self._group_velocity, write_dynamical_matrices=write_dynamical_matrices, factor=self._factor) def get_qpoints_phonon(self): return (self._qpoints_phonon.get_frequencies(), self._qpoints_phonon.get_eigenvectors()) def write_yaml_qpoints_phonon(self): self._qpoints_phonon.write_yaml() def write_animation(self, q_point=None, anime_type='v_sim', band_index=None, amplitude=None, num_div=None, shift=None, filename=None): self._set_dynamical_matrix() if q_point is None: animation = Animation([0, 0, 0], self._dynamical_matrix, shift=shift) else: animation = Animation(q_point, self._dynamical_matrix, shift=shift) if anime_type == 'v_sim': if amplitude: amplitude_ = amplitude else: amplitude_ = 1.0 if filename: animation.write_v_sim(amplitude=amplitude_, factor=self._factor, filename=filename) else: animation.write_v_sim(amplitude=amplitude_, factor=self._factor) if (anime_type == 'arc' or anime_type == 'xyz' or anime_type == 'jmol' or anime_type == 'poscar'): if band_index is None or amplitude is None or num_div is None: print "Parameters are not correctly set for animation." sys.exit(1) if anime_type == 'arc' or anime_type is None: if filename: animation.write_arc(band_index, amplitude, num_div, filename=filename) else: animation.write_arc(band_index, amplitude, num_div) if anime_type == 'xyz': if filename: animation.write_xyz(band_index, amplitude, num_div, self._factor, filename=filename) else: animation.write_xyz(band_index, amplitude, num_div, self._factor) if anime_type == 'jmol': if filename: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor, filename=filename) else: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor) if anime_type == 'poscar': if filename: animation.write_POSCAR(band_index, amplitude, num_div, filename=filename) else: animation.write_POSCAR(band_index, amplitude, num_div) def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): self._set_dynamical_matrix() self._modulation = Modulation(self._dynamical_matrix, dimension, phonon_modes, delta_q=delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run() def get_modulations(self): """Returns cells with modulations as Atoms objects""" return self._modulation.get_modulations() def get_delta_modulations(self): """Return modulations relative to equilibrium supercell (modulations, supercell) modulations: Atomic modulations of supercell in Cartesian coordinates supercell: Supercell as an Atoms object. """ return self._modulation.get_delta_modulations() def write_modulations(self): """Create MPOSCAR's""" self._modulation.write() def write_yaml_modulations(self): self._modulation.write_yaml() def set_irreps(self, q, is_little_cogroup=False, nac_q_direction=None, degeneracy_tolerance=1e-4): self._set_dynamical_matrix() self._irreps = IrReps(self._dynamical_matrix, q, is_little_cogroup=is_little_cogroup, nac_q_direction=nac_q_direction, factor=self._factor, symprec=self._symprec, degeneracy_tolerance=degeneracy_tolerance, log_level=self._log_level) return self._irreps.run() def get_irreps(self): return self._irreps def show_irreps(self, show_irreps=False): self._irreps.show(show_irreps=show_irreps) def write_yaml_irreps(self, show_irreps=False): self._irreps.write_yaml(show_irreps=show_irreps) def set_group_velocity(self, q_length=None): self._set_dynamical_matrix() self._group_velocity = GroupVelocity( self._dynamical_matrix, q_length=q_length, symmetry=self._primitive_symmetry, frequency_factor_to_THz=self._factor) def get_group_velocity(self): return self._group_velocity.get_group_velocity() def get_group_velocity_at_q(self, q_point): if self._group_velocity is None: self.set_group_velocity() self._group_velocity.set_q_points([q_point]) return self._group_velocity.get_group_velocity()[0] def _run_force_constants_from_forces(self, distributed_atom_list=None, decimals=None, computation_algorithm="svd"): if self._displacement_dataset is not None: self._force_constants = get_fc2( self._supercell, self._symmetry, self._displacement_dataset, atom_list=distributed_atom_list, decimals=decimals, computation_algorithm=computation_algorithm) def _set_dynamical_matrix(self): if self._nac_params is None: self._dynamical_matrix = DynamicalMatrix( self._supercell, self._primitive, self._force_constants, decimals=self._dynamical_matrix_decimals, symprec=self._symprec) else: self._dynamical_matrix = DynamicalMatrixNAC( self._supercell, self._primitive, self._force_constants, nac_params=self._nac_params, decimals=self._dynamical_matrix_decimals, symprec=self._symprec) def _search_symmetry(self): self._symmetry = Symmetry(self._supercell, self._symprec, self._is_symmetry) def _search_primitive_symmetry(self): self._primitive_symmetry = Symmetry(self._primitive, self._symprec, self._is_symmetry) if (len(self._symmetry.get_pointgroup_operations()) != len( self._primitive_symmetry.get_pointgroup_operations())): print( "Warning: point group symmetries of supercell and primitive" "cell are different.") def _build_supercell(self): self._supercell = get_supercell(self._unitcell, self._supercell_matrix, self._symprec) def _build_supercells_with_displacements(self): supercells = [] for disp in self._displacement_dataset['first_atoms']: positions = self._supercell.get_positions() positions[disp['number']] += disp['displacement'] supercells.append( Atoms(numbers=self._supercell.get_atomic_numbers(), masses=self._supercell.get_masses(), magmoms=self._supercell.get_magnetic_moments(), positions=positions, cell=self._supercell.get_cell(), pbc=True)) self._supercells_with_displacements = supercells def _build_primitive_cell(self): """ primitive_matrix: Relative axes of primitive cell to the input unit cell. Relative axes to the supercell is calculated by: supercell_matrix^-1 * primitive_matrix Therefore primitive cell lattice is finally calculated by: (supercell_lattice * (supercell_matrix)^-1 * primitive_matrix)^T """ inv_supercell_matrix = np.linalg.inv(self._supercell_matrix) if self._primitive_matrix is None: trans_mat = inv_supercell_matrix else: trans_mat = np.dot(inv_supercell_matrix, self._primitive_matrix) self._primitive = get_primitive(self._supercell, trans_mat, self._symprec) num_satom = self._supercell.get_number_of_atoms() num_patom = self._primitive.get_number_of_atoms() if abs(num_satom * np.linalg.det(trans_mat) - num_patom) < 0.1: return True else: return False
class Phonopy: def __init__(self, unitcell, supercell_matrix, distance=0.01, factor=VaspToTHz, is_auto_displacements=True, symprec=1e-5, is_symmetry=True, log_level=0): self._symprec = symprec self._unitcell = unitcell self._supercell_matrix = supercell_matrix self._factor = factor self._is_symmetry = is_symmetry self._log_level = log_level self._supercell = None self._set_supercell() self._symmetry = None self._set_symmetry() # set_displacements (used only in preprocess) self._displacements = None self._displacement_directions = None self._supercells_with_displacements = None if is_auto_displacements: self.generate_displacements(distance) # set_post_process self._primitive = None self._dynamical_matrix = None self._is_nac = False # set_force_constants or set_forces self._set_of_forces_objects = None self._force_constants = None # set_band_structure self._band_structure = None # set_mesh self._mesh = None # set_thermal_properties self._thermal_properties = None # set_thermal_displacements self._thermal_displacements = None # set_thermal_displacement_matrices self._thermal_displacement_matrices = None # set_partial_DOS self._pdos = None # set_total_DOS self._total_dos = None # set_modulation self._modulation = None # set_character_table self._irreps = None # set_group_velocity self._group_velocity = None def get_primitive(self): return self._primitive primitive = property(get_primitive) def set_primitive(self, primitive): self._primitive = primitive def get_unitcell(self): return self._unitcell unitcell = property(get_unitcell) def get_supercell(self): return self._supercell supercell = property(get_supercell) def set_supercell(self, supercell): self._supercell = supercell def get_symmetry(self): return self._symmetry symmetry = property(get_symmetry) def get_unit_conversion_factor(self): return self._factor unit_conversion_factor = property(get_unit_conversion_factor) def generate_displacements(self, distance=0.01, is_plusminus='auto', is_diagonal=True, is_trigonal=False): """Generate displacements automatically displacements: List of displacements in Cartesian coordinates. See 'set_displacements' displacement_directions: List of directions with respect to axes. This gives only the symmetrically non equivalent directions. The format is like: [[0, 1, 0, 0], [7, 1, 0, 1], ...] where each list is defined by: First value: Atom index in supercell starting with 0 Second to fourth: If the direction is displaced or not ( 1, 0, or -1 ) with respect to the axes. """ lattice = self._supercell.get_cell() self._displacements = [] self._displacement_directions = \ get_least_displacements(self._symmetry, is_plusminus=is_plusminus, is_diagonal=is_diagonal, is_trigonal=is_trigonal, log_level=self._log_level) for disp in self._displacement_directions: atom_num = disp[0] disp_cartesian = np.dot(disp[1:], lattice) disp_cartesian *= distance / np.linalg.norm(disp_cartesian) self._displacements.append([atom_num, disp_cartesian[0], disp_cartesian[1], disp_cartesian[2]]) self._set_supercells_with_displacements() def set_displacements(self, displacements): """Set displacements manually displacemsts: List of disctionaries [[0, 0.01, 0.00, 0.00], ...] where each set of elements is defined by: First value: Atom index in supercell starting with 0 Second to fourth: Displacement in Cartesian coordinates """ self._displacements = displacements self._set_supercells_with_displacements() def get_displacements(self): return self._displacements displacements = property(get_displacements) def get_displacement_directions(self): return self._displacement_directions displacement_directions = property(get_displacement_directions) def get_supercells_with_displacements(self): return self._supercells_with_displacements def set_post_process(self, primitive_matrix=np.eye(3, dtype=float), sets_of_forces=None, set_of_forces_objects=None, force_constants=None, is_nac=False, calculate_full_force_constants=False, force_constants_decimals=None, dynamical_matrix_decimals=None): """ Set forces or force constants to prepare phonon calculations. The order of 'sets_of_forces' has to correspond to that of 'displacements' that should be already stored. primitive_matrix: Relative axes of primitive cell to the input unit cell. Relative axes to the supercell is calculated by: supercell_matrix^-1 * primitive_matrix Therefore primitive cell lattice is finally calculated by: (supercell_lattice * (supercell_matrix)^-1 * primitive_matrix)^T sets_of_forces: [[[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # first supercell [[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # second supercell ... ] set_of_forces_objects: [FORCES_object, FORCES_object, FORCES_object, ...] """ self._is_nac = is_nac # Primitive cell inv_supercell_matrix = np.linalg.inv(self._supercell_matrix) self._primitive = Primitive( self._supercell, np.dot(inv_supercell_matrix, primitive_matrix), self._symprec) # Set set of FORCES objects or force constants if sets_of_forces is not None: self.set_forces(sets_of_forces) elif set_of_forces_objects is not None: self.set_force_sets(set_of_forces_objects) elif force_constants is not None: self.set_force_constants(force_constants) # Calculate force cosntants from forces (full or symmetry reduced) if self._set_of_forces_objects is not None: if calculate_full_force_constants: self.set_force_constants_from_forces( distributed_atom_list=None, force_constants_decimals=force_constants_decimals) else: p2s_map = self._primitive.get_primitive_to_supercell_map() self.set_force_constants_from_forces( distributed_atom_list=p2s_map, force_constants_decimals=force_constants_decimals) if self._force_constants is None: print "In set_post_process, sets_of_forces or force_constants" print "has to be set." return False # Dynamical Matrix self.set_dynamical_matrix(decimals=dynamical_matrix_decimals) def set_nac_params(self, nac_params, method='wang'): if self._is_nac: self._dynamical_matrix.set_nac_params(nac_params, method) def set_dynamical_matrix(self, decimals=None): if self._is_nac: self._dynamical_matrix = \ DynamicalMatrixNAC(self._supercell, self._primitive, self._force_constants, decimals=decimals, symprec=self._symprec) else: self._dynamical_matrix = \ DynamicalMatrix(self._supercell, self._primitive, self._force_constants, decimals=decimals, symprec=self._symprec) def get_dynamical_matrix(self): return self._dynamical_matrix dynamical_matrix = property(get_dynamical_matrix) def set_forces(self, sets_of_forces): forces = [] for i, disp in enumerate(self._displacements): forces.append(Forces(disp[0], disp[1:4], sets_of_forces[i])) self._set_of_forces_objects = forces def set_force_constants_from_forces(self, distributed_atom_list=None, force_constants_decimals=None): self._force_constants = get_force_constants( self._set_of_forces_objects, self._symmetry, self._supercell, atom_list=distributed_atom_list, decimals=force_constants_decimals) def set_force_constants_zero_with_radius(self, cutoff_radius): cutoff_force_constants(self._force_constants, self._supercell, cutoff_radius, symprec=self._symprec) def set_force_constants(self, force_constants): self._force_constants = force_constants def set_force_sets(self, sets_of_forces_objects): self._set_of_forces_objects = sets_of_forces_objects def symmetrize_force_constants(self, iteration=3): symmetrize_force_constants(self._force_constants, iteration) def get_force_constants(self): return self._force_constants force_constants = property(get_force_constants) def get_rotational_condition_of_fc(self): return rotational_invariance(self._force_constants, self._supercell, self._primitive, self._symprec) def get_dynamical_matrix_at_q(self, q): self._dynamical_matrix.set_dynamical_matrix(q) return self._dynamical_matrix.get_dynamical_matrix() # Frequency at a q-point def get_frequencies(self, q): """ Calculate phonon frequencies at q q: q-vector in reduced coordinates of primitive cell """ self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] for eig in np.linalg.eigvalsh(dm).real: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor # Frequency and eigenvector at a q-point def get_frequencies_with_eigenvectors(self, q): """ Calculate phonon frequencies and eigenvectors at q q: q-vector in reduced coordinates of primitive cell """ self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] eigvals, eigenvectors = np.linalg.eigh(dm) frequencies = [] for eig in eigvals: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor, eigenvectors ## This expression may not be supported in old python versions. # frequencies = np.array( # [np.sqrt(x) if x > 0 else -np.sqrt(-x) for x in eigvals]) # return frequencies * self._factor, eigenvectors # Band structure def set_band_structure(self, bands, is_eigenvectors=False, is_band_connection=False): self._band_structure = BandStructure( bands, self._dynamical_matrix, self._primitive, is_eigenvectors=is_eigenvectors, is_band_connection=is_band_connection, group_velocity=self._group_velocity, factor=self._factor) def get_band_structure(self): band = self._band_structure return (band.get_qpoints(), band.get_distances(), band.get_frequencies(), band.get_eigenvectors()) def plot_band_structure(self, symbols=None): return self._band_structure.plot_band(symbols) def write_yaml_band_structure(self): self._band_structure.write_yaml() # Mesh sampling def set_mesh(self, mesh, shift=None, is_time_reversal=True, is_symmetry=True, is_band_connection=False, is_eigenvectors=False, is_gamma_center=False): self._mesh = Mesh(self._dynamical_matrix, self._primitive, mesh, shift=shift, is_time_reversal=is_time_reversal, is_mesh_symmetry=is_symmetry, is_eigenvectors=is_eigenvectors, is_band_connection=is_band_connection, is_gamma_center=is_gamma_center, group_velocity=self._group_velocity, factor=self._factor, symprec=self._symprec) def get_mesh(self): return (self._mesh.get_qpoints(), self._mesh.get_weights(), self._mesh.get_frequencies(), self._mesh.get_eigenvectors()) def write_yaml_mesh(self): self._mesh.write_yaml() def write_hdf5_mesh(self): self._mesh.write_hdf5() # Thermal property def set_thermal_properties(self, t_step=10, t_max=1000, t_min=0, is_projection=False, cutoff_frequency=None): if self._mesh==None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) tp = ThermalProperties(self._mesh.get_frequencies(), weights=self._mesh.get_weights(), eigenvectors=self._mesh.get_eigenvectors(), is_projection=is_projection, cutoff_frequency=cutoff_frequency) tp.set_thermal_properties(t_step, t_max, t_min) self._thermal_properties = tp def get_thermal_properties(self): temps, fe, entropy, cv = \ self._thermal_properties.get_thermal_properties() return temps, fe, entropy, cv def plot_thermal_properties(self): return self._thermal_properties.plot_thermal_properties() def write_yaml_thermal_properties(self, filename='thermal_properties.yaml'): self._thermal_properties.write_yaml(filename=filename) # Partial DOS def set_partial_DOS(self, sigma=None, omega_min=None, omega_max=None, omega_pitch=None, tetrahedron_method=False): if self._mesh==None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) if self._mesh.get_eigenvectors() == None: print "Eigenvectors have to be calculated." sys.exit(1) pdos = PartialDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method) pdos.set_draw_area(omega_min, omega_max, omega_pitch) pdos.calculate() self._pdos = pdos def get_partial_DOS(self): """ Retern omegas and partial_dos. The first element is omegas and the second is partial_dos. omegas: [freq1, freq2, ...] partial_dos: [[elem1-freq1, elem1-freq2, ...], [elem2-freq1, elem2-freq2, ...], ...] where elem1: atom1-x compornent elem2: atom1-y compornent elem3: atom1-z compornent elem4: atom2-x compornent ... """ return self._pdos.get_partial_dos() def plot_partial_DOS(self, pdos_indices=None, legend=None): return self._pdos.plot_pdos(indices=pdos_indices, legend=legend) def write_partial_DOS(self): self._pdos.write() # Total DOS def set_total_DOS(self, sigma=None, omega_min=None, omega_max=None, omega_pitch=None, tetrahedron_method=False): if self._mesh==None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) total_dos = TotalDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method) total_dos.set_draw_area(omega_min, omega_max, omega_pitch) total_dos.calculate() self._total_dos = total_dos def get_total_DOS(self): """ Retern omegas and total dos. The first element is omegas and the second is total dos. omegas: [freq1, freq2, ...] total_dos: [dos1, dos2, ...] """ return self._total_dos.get_dos() def set_Debye_frequency(self, freq_max_fit=None): self._total_dos.set_Debye_frequency( self._primitive.get_number_of_atoms(), freq_max_fit) def get_Debye_frequency(self): return self._total_dos.get_Debye_frequency() def plot_total_DOS(self): return self._total_dos.plot_dos() def write_total_DOS(self): self._total_dos.write() # Thermal displacement def set_thermal_displacements(self, t_step=10, t_max=1000, t_min=0, direction=None, cutoff_eigenvalue=None): """ cutoff_eigenvalue: phonon modes that have frequencies below cutoff_eigenvalue are ignored. e.g. 0.1 (THz^2) direction: Projection direction in reduced coordinates """ if self._mesh==None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if np.prod(mesh_nums) != len(eigvecs): print "Sampling mesh must not be symmetrized." sys.exit(1) td = ThermalDisplacements(frequencies, eigvecs, self._primitive.get_masses(), cutoff_eigenvalue=cutoff_eigenvalue) td.set_temperature_range(t_min, t_max, t_step) if direction is not None: td.project_eigenvectors(direction, self._primitive.get_cell()) # td.run() td.run_mesh() self._thermal_displacements = td def get_thermal_displacements(self): if self._thermal_displacements is not None: return self._thermal_displacements.get_thermal_displacements() def plot_thermal_displacements(self, is_legend=False): return self._thermal_displacements.plot(is_legend) def write_yaml_thermal_displacements(self): self._thermal_displacements.write_yaml() def write_hdf5_thermal_displacements(self): self._thermal_displacements.write_hdf5() # Thermal displacement matrices def set_thermal_displacement_matrices(self, t_step=10, t_max=1000, t_min=0, cutoff_eigenvalue=None): """ cutoff_eigenvalue: phonon modes that have frequencies below cutoff_eigenvalue are ignored. e.g. 0.1 (THz^2) direction: Projection direction in reduced coordinates """ if self._mesh==None: print "set_mesh has to be done before set_thermal_properties" sys.exit(1) eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print "Eigenvectors have to be calculated." sys.exit(1) if np.prod(mesh_nums) != len(eigvecs): print "Sampling mesh must not be symmetrized." sys.exit(1) tdm = ThermalDisplacementMatrices(frequencies, eigvecs, self._primitive.get_masses(), cutoff_eigenvalue=cutoff_eigenvalue) tdm.set_temperature_range(t_min, t_max, t_step) # tdm.run() tdm.run_mesh() self._thermal_displacement_matrices = tdm def get_thermal_displacement_matrices(self): if self._thermal_displacement_matrices is not None: return self._thermal_displacement_matrices.get_thermal_displacement_matrices() def write_yaml_thermal_displacement_matrices(self): self._thermal_displacement_matrices.write_yaml() def write_hdf5_thermal_displacement_matrices(self): self._thermal_displacement_matrices.write_hdf5() # Thermal displacement def set_thermal_distances(self, atom_pairs, t_step=10, t_max=1000, t_min=0, cutoff_eigenvalue=None): """ atom_pairs: List of list Mean square distances are calculated for the atom_pairs e.g. [[1, 2], [1, 4]] cutoff_eigenvalue: phonon modes that have frequencies below cutoff_eigenvalue are ignored. e.g. 0.1 (THz^2) """ td = ThermalDistances(self._mesh.get_frequencies(), self._mesh.get_eigenvectors(), self._supercell, self._primitive, self._mesh.get_qpoints(), symprec=self._symprec, cutoff_eigenvalue=cutoff_eigenvalue) td.set_temperature_range(t_min, t_max, t_step) # td.run(atom_pairs) td.run_mesh(atom_pairs) self._thermal_distances = td def write_yaml_thermal_distances(self): self._thermal_distances.write_yaml() def write_hdf5_thermal_distances(self): self._thermal_distances.write_hdf5() # Q-points mode def write_yaml_qpoints(self, q_points, nac_q_direction=None, is_eigenvectors=False, write_dynamical_matrices=False, factor=VaspToTHz): write_yaml_qpoints(q_points, self._primitive, self._dynamical_matrix, nac_q_direction=nac_q_direction, is_eigenvectors=is_eigenvectors, group_velocity=self._group_velocity, write_dynamical_matrices=write_dynamical_matrices, factor=self._factor) # Animation def write_animation(self, q_point=None, anime_type='v_sim', band_index=None, amplitude=None, num_div=None, shift=None, filename=None): if q_point==None: animation = Animation([0, 0, 0], self._dynamical_matrix, self._primitive, shift=shift) else: animation = Animation(q_point, self._dynamical_matrix, self._primitive, shift=shift) if anime_type=='v_sim': if amplitude: amplitude_ = amplitude else: amplitude_ = 1.0 if filename: animation.write_v_sim(amplitude=amplitude_, factor=self._factor, filename=filename) else: animation.write_v_sim(amplitude=amplitude_, factor=self._factor) if (anime_type=='arc' or anime_type=='xyz' or anime_type=='jmol' or anime_type=='poscar'): if band_index==None or amplitude==None or num_div==None: print "Parameters are not correctly set for animation." sys.exit(1) if anime_type=='arc' or anime_type==None: if filename: animation.write_arc(band_index, amplitude, num_div, filename=filename) else: animation.write_arc(band_index, amplitude, num_div) if anime_type=='xyz': if filename: animation.write_xyz(band_index, amplitude, num_div, self._factor, filename=filename) else: animation.write_xyz(band_index, amplitude, num_div, self._factor) if anime_type=='jmol': if filename: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor, filename=filename) else: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor) if anime_type=='poscar': if filename: animation.write_POSCAR(band_index, amplitude, num_div, filename=filename) else: animation.write_POSCAR(band_index, amplitude, num_div) # Modulation def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): self._modulation = Modulation(self._dynamical_matrix, self._primitive, dimension=dimension, phonon_modes=phonon_modes, delta_q= delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run() def get_modulations(self): """Returns cells with modulations as Atoms objects""" return self._modulation.get_modulations() def get_delta_modulations(self): """Return modulations relative to equilibrium supercell (modulations, supercell) modulations: Atomic modulations of supercell in Cartesian coordinates supercell: Supercell as an Atoms object. """ return self._modulation.get_delta_modulations() def write_modulations(self): """Create MPOSCAR's""" self._modulation.write() def write_yaml_modulations(self): self._modulation.write_yaml() # Characters of irreducible representations def set_irreps(self, q, degeneracy_tolerance=1e-4): self._irreps = IrReps( self._dynamical_matrix, q, factor=self._factor, symprec=self._symprec, degeneracy_tolerance=degeneracy_tolerance, log_level=self._log_level) return self._irreps.run() def get_irreps(self): return self._irreps def show_irreps(self, show_irreps=False): self._irreps.show(show_irreps=show_irreps) def write_yaml_irreps(self, show_irreps=False): self._irreps.write_yaml(show_irreps=show_irreps) # Group velocity def set_group_velocity(self, q_points=None, q_length=1e-4): self._group_velocity = GroupVelocity( self._dynamical_matrix, q_points=q_points, symmetry=self._symmetry, q_length=q_length, frequency_factor_to_THz=self._factor) def get_group_velocity(self, q_point): self._group_velocity.set_q_points([q_point]) return self._group_velocity.get_group_velocity()[0] def _set_supercell(self): self._supercell = get_supercell(self._unitcell, self._supercell_matrix, self._symprec) def _set_symmetry(self): self._symmetry = Symmetry(self._supercell, self._symprec, self._is_symmetry) def _set_supercells_with_displacements(self): supercells = [] for disp in self._displacements: positions = self._supercell.get_positions() positions[disp[0]] += disp[1:4] supercells.append(Atoms( numbers=self._supercell.get_atomic_numbers(), masses=self._supercell.get_masses(), magmoms=self._supercell.get_magnetic_moments(), positions=positions, cell=self._supercell.get_cell(), pbc=True)) self._supercells_with_displacements = supercells
class Phonopy(object): def __init__(self, unitcell, supercell_matrix, primitive_matrix=None, nac_params=None, distance=None, factor=VaspToTHz, is_auto_displacements=None, dynamical_matrix_decimals=None, force_constants_decimals=None, symprec=1e-5, is_symmetry=True, use_lapack_solver=False, log_level=0): if is_auto_displacements is not None: print("Warning: \'is_auto_displacements\' argument is obsolete.") if is_auto_displacements is False: print("Sets of displacements are not created as default.") else: print("Use \'generate_displacements\' method explicitly to " "create sets of displacements.") if distance is not None: print("Warning: \'distance\' keyword argument is obsolete at " "Phonopy instantiation.") print("Specify \'distance\' keyword argument when calling " "\'generate_displacements\'") print("method (See the Phonopy API document).") self._symprec = symprec self._factor = factor self._is_symmetry = is_symmetry self._use_lapack_solver = use_lapack_solver self._log_level = log_level # Create supercell and primitive cell self._unitcell = Atoms(atoms=unitcell) self._supercell_matrix = supercell_matrix self._primitive_matrix = primitive_matrix self._supercell = None self._primitive = None self._build_supercell() self._build_primitive_cell() # Set supercell and primitive symmetry self._symmetry = None self._primitive_symmetry = None self._search_symmetry() self._search_primitive_symmetry() # set_displacements (used only in preprocess) self._displacement_dataset = None self._displacements = None self._displacement_directions = None self._supercells_with_displacements = None # set_force_constants or set_forces self._force_constants = None self._force_constants_decimals = force_constants_decimals # set_dynamical_matrix self._dynamical_matrix = None self._nac_params = nac_params self._dynamical_matrix_decimals = dynamical_matrix_decimals # set_band_structure self._band_structure = None # set_mesh self._mesh = None # set_tetrahedron_method self._tetrahedron_method = None # set_thermal_properties self._thermal_properties = None # set_thermal_displacements self._thermal_displacements = None # set_thermal_displacement_matrices self._thermal_displacement_matrices = None # set_partial_DOS self._pdos = None # set_total_DOS self._total_dos = None # set_modulation self._modulation = None # set_character_table self._irreps = None # set_group_velocity self._group_velocity = None def get_version(self): return __version__ def get_primitive(self): return self._primitive primitive = property(get_primitive) def get_unitcell(self): return self._unitcell unitcell = property(get_unitcell) def get_supercell(self): return self._supercell supercell = property(get_supercell) def get_symmetry(self): """return symmetry of supercell""" return self._symmetry symmetry = property(get_symmetry) def get_primitive_symmetry(self): """return symmetry of primitive cell""" return self._primitive_symmetry def get_supercell_matrix(self): return self._supercell_matrix def get_primitive_matrix(self): return self._primitive_matrix def get_unit_conversion_factor(self): return self._factor unit_conversion_factor = property(get_unit_conversion_factor) def get_displacement_dataset(self): return self._displacement_dataset def get_displacements(self): return self._displacements displacements = property(get_displacements) def get_displacement_directions(self): return self._displacement_directions displacement_directions = property(get_displacement_directions) def get_supercells_with_displacements(self): if self._displacement_dataset is None: return None else: self._build_supercells_with_displacements() return self._supercells_with_displacements def get_force_constants(self): return self._force_constants force_constants = property(get_force_constants) def get_rotational_condition_of_fc(self): return rotational_invariance(self._force_constants, self._supercell, self._primitive, self._symprec) def get_nac_params(self): return self._nac_params def get_dynamical_matrix(self): return self._dynamical_matrix dynamical_matrix = property(get_dynamical_matrix) def set_unitcell(self, unitcell): self._unitcell = unitcell self._build_supercell() self._build_primitive_cell() self._search_symmetry() self._search_primitive_symmetry() self._displacement_dataset = None def set_masses(self, masses): p_masses = np.array(masses) self._primitive.set_masses(p_masses) p2p_map = self._primitive.get_primitive_to_primitive_map() s_masses = p_masses[[p2p_map[x] for x in self._primitive.get_supercell_to_primitive_map()]] self._supercell.set_masses(s_masses) u2s_map = self._supercell.get_unitcell_to_supercell_map() u_masses = s_masses[u2s_map] self._unitcell.set_masses(u_masses) self._set_dynamical_matrix() def set_nac_params(self, nac_params=None): self._nac_params = nac_params self._set_dynamical_matrix() def set_displacement_dataset(self, displacement_dataset): """ displacement_dataset: {'natom': number_of_atoms_in_supercell, 'first_atoms': [ {'number': atom index of displaced atom, 'displacement': displacement in Cartesian coordinates, 'direction': displacement direction with respect to axes 'forces': forces on atoms in supercell}, {...}, ...]} """ self._displacement_dataset = displacement_dataset self._displacements = [] self._displacement_directions = [] for disp in self._displacement_dataset['first_atoms']: x = disp['displacement'] self._displacements.append([disp['number'], x[0], x[1], x[2]]) if 'direction' in disp: y = disp['direction'] self._displacement_directions.append( [disp['number'], y[0], y[1], y[2]]) if not self._displacement_directions: self._displacement_directions = None def set_forces(self, sets_of_forces): """ sets_of_forces: [[[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # first supercell [[f_1x, f_1y, f_1z], [f_2x, f_2y, f_2z], ...], # second supercell ... ] """ for disp, forces in zip( self._displacement_dataset['first_atoms'], sets_of_forces): disp['forces'] = forces def set_force_constants(self, force_constants): self._force_constants = force_constants self._set_dynamical_matrix() def set_force_constants_zero_with_radius(self, cutoff_radius): cutoff_force_constants(self._force_constants, self._supercell, cutoff_radius, symprec=self._symprec) self._set_dynamical_matrix() def set_dynamical_matrix(self): self._set_dynamical_matrix() def generate_displacements(self, distance=0.01, is_plusminus='auto', is_diagonal=True, is_trigonal=False): """Generate displacements automatically displacemsts: List of displacements in Cartesian coordinates. [[0, 0.01, 0.00, 0.00], ...] where each set of elements is defined by: First value: Atom index in supercell starting with 0 Second to fourth: Displacement in Cartesian coordinates displacement_directions: List of directions with respect to axes. This gives only the symmetrically non equivalent directions. The format is like: [[0, 1, 0, 0], [7, 1, 0, 1], ...] where each list is defined by: First value: Atom index in supercell starting with 0 Second to fourth: If the direction is displaced or not ( 1, 0, or -1 ) with respect to the axes. """ displacement_directions = get_least_displacements( self._symmetry, is_plusminus=is_plusminus, is_diagonal=is_diagonal, is_trigonal=is_trigonal, log_level=self._log_level) displacement_dataset = direction_to_displacement( displacement_directions, distance, self._supercell) self.set_displacement_dataset(displacement_dataset) def produce_force_constants(self, forces=None, calculate_full_force_constants=True, computation_algorithm="svd"): if forces is not None: self.set_forces(forces) # A primitive check if 'forces' key is in displacement_dataset. for disp in self._displacement_dataset['first_atoms']: if 'forces' not in disp: return False if calculate_full_force_constants: self._run_force_constants_from_forces( decimals=self._force_constants_decimals, computation_algorithm=computation_algorithm) else: p2s_map = self._primitive.get_primitive_to_supercell_map() self._run_force_constants_from_forces( distributed_atom_list=p2s_map, decimals=self._force_constants_decimals, computation_algorithm=computation_algorithm) self._set_dynamical_matrix() return True def symmetrize_force_constants(self, iteration=3): symmetrize_force_constants(self._force_constants, iteration) self._set_dynamical_matrix() def symmetrize_force_constants_by_space_group(self): from phonopy.harmonic.force_constants import (set_tensor_symmetry, set_tensor_symmetry_PJ) set_tensor_symmetry_PJ(self._force_constants, self._supercell.get_cell().T, self._supercell.get_scaled_positions(), self._symmetry) self._set_dynamical_matrix() ##################### # Phonon properties # ##################### # Single q-point def get_dynamical_matrix_at_q(self, q): self._set_dynamical_matrix() if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") return None self._dynamical_matrix.set_dynamical_matrix(q) return self._dynamical_matrix.get_dynamical_matrix() def get_frequencies(self, q): """ Calculate phonon frequencies at q q: q-vector in reduced coordinates of primitive cell """ self._set_dynamical_matrix() if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") return None self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] for eig in np.linalg.eigvalsh(dm).real: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor def get_frequencies_with_eigenvectors(self, q): """ Calculate phonon frequencies and eigenvectors at q q: q-vector in reduced coordinates of primitive cell """ self._set_dynamical_matrix() if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") return None self._dynamical_matrix.set_dynamical_matrix(q) dm = self._dynamical_matrix.get_dynamical_matrix() frequencies = [] eigvals, eigenvectors = np.linalg.eigh(dm) frequencies = [] for eig in eigvals: if eig < 0: frequencies.append(-np.sqrt(-eig)) else: frequencies.append(np.sqrt(eig)) return np.array(frequencies) * self._factor, eigenvectors # Band structure def set_band_structure(self, bands, is_eigenvectors=False, is_band_connection=False): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._band_structure = None return False self._band_structure = BandStructure( bands, self._dynamical_matrix, is_eigenvectors=is_eigenvectors, is_band_connection=is_band_connection, group_velocity=self._group_velocity, factor=self._factor) return True def get_band_structure(self): band = self._band_structure return (band.get_qpoints(), band.get_distances(), band.get_frequencies(), band.get_eigenvectors()) def plot_band_structure(self, labels=None): import matplotlib.pyplot as plt if labels: from matplotlib import rc rc('text', usetex=True) self._band_structure.plot(plt, labels=labels) return plt def write_yaml_band_structure(self, labels=None, comment=None, filename="band.yaml"): self._band_structure.write_yaml(labels=labels, comment=comment, filename=filename) # Sampling mesh def set_mesh(self, mesh, shift=None, is_time_reversal=True, is_mesh_symmetry=True, is_eigenvectors=False, is_gamma_center=False): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._mesh = None return False self._mesh = Mesh( self._dynamical_matrix, mesh, shift=shift, is_time_reversal=is_time_reversal, is_mesh_symmetry=is_mesh_symmetry, is_eigenvectors=is_eigenvectors, is_gamma_center=is_gamma_center, group_velocity=self._group_velocity, rotations=self._primitive_symmetry.get_pointgroup_operations(), factor=self._factor, use_lapack_solver=self._use_lapack_solver) return True def get_mesh(self): if self._mesh is None: return None else: return (self._mesh.get_qpoints(), self._mesh.get_weights(), self._mesh.get_frequencies(), self._mesh.get_eigenvectors()) def get_mesh_grid_info(self): if self._mesh is None: return None else: return (self._mesh.get_grid_address(), self._mesh.get_ir_grid_points(), self._mesh.get_grid_mapping_table()) def write_hdf5_mesh(self): self._mesh.write_hdf5() def write_yaml_mesh(self): self._mesh.write_yaml() # Plot band structure and DOS (PDOS) together def plot_band_structure_and_dos(self, pdos_indices=None, labels=None): import matplotlib.pyplot as plt import matplotlib.gridspec as gridspec if labels: from matplotlib import rc rc('text', usetex=True) plt.figure(figsize=(10, 6)) gs = gridspec.GridSpec(1, 2, width_ratios=[3, 1]) ax1 = plt.subplot(gs[0, 0]) self._band_structure.plot(plt, labels=labels) ax2 = plt.subplot(gs[0, 1], sharey=ax1) plt.subplots_adjust(wspace=0.03) plt.setp(ax2.get_yticklabels(), visible=False) if pdos_indices is None: self._total_dos.plot(plt, ylabel="", draw_grid=False, flip_xy=True) else: self._pdos.plot(plt, indices=pdos_indices, ylabel="", draw_grid=False, flip_xy=True) return plt # DOS def set_total_DOS(self, sigma=None, freq_min=None, freq_max=None, freq_pitch=None, tetrahedron_method=False): if self._mesh is None: print("Warning: \'set_mesh\' has to finish correctly " "before DOS calculation.") self._total_dos = None return False total_dos = TotalDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method) total_dos.set_draw_area(freq_min, freq_max, freq_pitch) total_dos.run() self._total_dos = total_dos return True def get_total_DOS(self): """ Retern frequencies and total dos. The first element is freqs and the second is total dos. frequencies: [freq1, freq2, ...] total_dos: [dos1, dos2, ...] """ return self._total_dos.get_dos() def set_Debye_frequency(self, freq_max_fit=None): self._total_dos.set_Debye_frequency( self._primitive.get_number_of_atoms(), freq_max_fit=freq_max_fit) def get_Debye_frequency(self): return self._total_dos.get_Debye_frequency() def plot_total_DOS(self): import matplotlib.pyplot as plt self._total_dos.plot(plt) return plt def write_total_DOS(self): self._total_dos.write() # PDOS def set_partial_DOS(self, sigma=None, freq_min=None, freq_max=None, freq_pitch=None, tetrahedron_method=False, direction=None, xyz_projection=False): self._pdos = None if self._mesh is None: print("Warning: \'set_mesh\' has to be called before " "PDOS calculation.") return False if self._mesh.get_eigenvectors() is None: print("Warning: Eigenvectors have to be calculated.") return False num_grid = np.prod(self._mesh.get_mesh_numbers()) if num_grid != len(self._mesh.get_ir_grid_points()): print("Warning: \'set_mesh\' has to be called with " "is_mesh_symmetry=False.") return False if direction is not None: direction_cart = np.dot(direction, self._primitive.get_cell()) else: direction_cart = None self._pdos = PartialDos(self._mesh, sigma=sigma, tetrahedron_method=tetrahedron_method, direction=direction_cart, xyz_projection=xyz_projection) self._pdos.set_draw_area(freq_min, freq_max, freq_pitch) self._pdos.run() return True def get_partial_DOS(self): """ Retern frequencies and partial_dos. The first element is freqs and the second is partial_dos. frequencies: [freq1, freq2, ...] partial_dos: [[atom1-freq1, atom1-freq2, ...], [atom2-freq1, atom2-freq2, ...], ...] """ return self._pdos.get_partial_dos() def plot_partial_DOS(self, pdos_indices=None, legend=None): import matplotlib.pyplot as plt self._pdos.plot(plt, indices=pdos_indices, legend=legend) return plt def write_partial_DOS(self): self._pdos.write() # Thermal property def set_thermal_properties(self, t_step=10, t_max=1000, t_min=0, temperatures=None, is_projection=False, band_indices=None, cutoff_frequency=None): if self._mesh is None: print("Warning: set_mesh has to be done before " "set_thermal_properties") return False else: tp = ThermalProperties(self._mesh.get_frequencies(), weights=self._mesh.get_weights(), eigenvectors=self._mesh.get_eigenvectors(), is_projection=is_projection, band_indices=band_indices, cutoff_frequency=cutoff_frequency) if temperatures is None: tp.set_temperature_range(t_step=t_step, t_max=t_max, t_min=t_min) else: tp.set_temperatures(temperatures) tp.run() self._thermal_properties = tp def get_thermal_properties(self): temps, fe, entropy, cv = \ self._thermal_properties.get_thermal_properties() return temps, fe, entropy, cv def plot_thermal_properties(self): import matplotlib.pyplot as plt self._thermal_properties.plot(plt) return plt def write_yaml_thermal_properties(self, filename='thermal_properties.yaml'): self._thermal_properties.write_yaml(filename=filename) # Thermal displacement def set_thermal_displacements(self, t_step=10, t_max=1000, t_min=0, temperatures=None, direction=None, cutoff_frequency=None): """ cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. direction: Projection direction in reduced coordinates """ self._thermal_displacements = None if self._mesh is None: print("Warning: \'set_mesh\' has to finish correctly " "before \'set_thermal_displacements\'.") return False eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print("Warning: Eigenvectors have to be calculated.") return False if np.prod(mesh_nums) != len(eigvecs): print("Warning: Sampling mesh must not be symmetrized.") return False td = ThermalDisplacements(frequencies, eigvecs, self._primitive.get_masses(), cutoff_frequency=cutoff_frequency) if temperatures is None: td.set_temperature_range(t_min, t_max, t_step) else: td.set_temperatures(temperatures) if direction is not None: td.project_eigenvectors(direction, self._primitive.get_cell()) td.run() self._thermal_displacements = td return True def get_thermal_displacements(self): if self._thermal_displacements is not None: return self._thermal_displacements.get_thermal_displacements() def plot_thermal_displacements(self, is_legend=False): import matplotlib.pyplot as plt self._thermal_displacements.plot(plt, is_legend=is_legend) return plt def write_yaml_thermal_displacements(self): self._thermal_displacements.write_yaml() # Thermal displacement matrix def set_thermal_displacement_matrices(self, t_step=10, t_max=1000, t_min=0, cutoff_frequency=None, t_cif=None): """ cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. direction: Projection direction in reduced coordinates """ self._thermal_displacement_matrices = None if self._mesh is None: print("Warning: \'set_mesh\' has to finish correctly " "before \'set_thermal_displacement_matrices\'.") return False eigvecs = self._mesh.get_eigenvectors() frequencies = self._mesh.get_frequencies() mesh_nums = self._mesh.get_mesh_numbers() if self._mesh.get_eigenvectors() is None: print("Warning: Eigenvectors have to be calculated.") return False if np.prod(mesh_nums) != len(eigvecs): print("Warning: Sampling mesh must not be symmetrized.") return False tdm = ThermalDisplacementMatrices(frequencies, eigvecs, self._primitive.get_masses(), cutoff_frequency=cutoff_frequency, lattice=self._primitive.get_cell().T) if t_cif is None: tdm.set_temperature_range(t_min, t_max, t_step) else: tdm.set_temperatures([t_cif]) tdm.run() self._thermal_displacement_matrices = tdm return True def get_thermal_displacement_matrices(self): tdm = self._thermal_displacement_matrices if tdm is not None: return tdm.get_thermal_displacement_matrices() def write_yaml_thermal_displacement_matrices(self): self._thermal_displacement_matrices.write_yaml() def write_thermal_displacement_matrix_to_cif(self, temperature_index): self._thermal_displacement_matrices.write_cif(self._primitive, temperature_index) # Mean square distance between a pair of atoms def set_thermal_distances(self, atom_pairs, t_step=10, t_max=1000, t_min=0, cutoff_frequency=None): """ atom_pairs: List of list Mean square distances are calculated for the atom_pairs e.g. [[1, 2], [1, 4]] cutoff_frequency: phonon modes that have frequencies below cutoff_frequency are ignored. """ td = ThermalDistances(self._mesh.get_frequencies(), self._mesh.get_eigenvectors(), self._supercell, self._primitive, self._mesh.get_qpoints(), cutoff_frequency=cutoff_frequency) td.set_temperature_range(t_min, t_max, t_step) td.run(atom_pairs) self._thermal_distances = td def write_yaml_thermal_distances(self): self._thermal_distances.write_yaml() # Sampling at q-points def set_qpoints_phonon(self, q_points, nac_q_direction=None, is_eigenvectors=False, write_dynamical_matrices=False): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._qpoints_phonon = None return False self._qpoints_phonon = QpointsPhonon( np.reshape(q_points, (-1, 3)), self._dynamical_matrix, nac_q_direction=nac_q_direction, is_eigenvectors=is_eigenvectors, group_velocity=self._group_velocity, write_dynamical_matrices=write_dynamical_matrices, factor=self._factor) return True def get_qpoints_phonon(self): return (self._qpoints_phonon.get_frequencies(), self._qpoints_phonon.get_eigenvectors()) def write_hdf5_qpoints_phonon(self): self._qpoints_phonon.write_hdf5() def write_yaml_qpoints_phonon(self): self._qpoints_phonon.write_yaml() # Normal mode animation def write_animation(self, q_point=None, anime_type='v_sim', band_index=None, amplitude=None, num_div=None, shift=None, filename=None): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") return False if q_point is None: animation = Animation([0, 0, 0], self._dynamical_matrix, shift=shift) else: animation = Animation(q_point, self._dynamical_matrix, shift=shift) if anime_type == 'v_sim': if amplitude: amplitude_ = amplitude else: amplitude_ = 1.0 if filename: animation.write_v_sim(amplitude=amplitude_, factor=self._factor, filename=filename) else: animation.write_v_sim(amplitude=amplitude_, factor=self._factor) if (anime_type == 'arc' or anime_type == 'xyz' or anime_type == 'jmol' or anime_type == 'poscar'): if band_index is None or amplitude is None or num_div is None: print("Warning: Parameters are not correctly set for " "animation.") return False if anime_type == 'arc' or anime_type is None: if filename: animation.write_arc(band_index, amplitude, num_div, filename=filename) else: animation.write_arc(band_index, amplitude, num_div) if anime_type == 'xyz': if filename: animation.write_xyz(band_index, amplitude, num_div, self._factor, filename=filename) else: animation.write_xyz(band_index, amplitude, num_div, self._factor) if anime_type == 'jmol': if filename: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor, filename=filename) else: animation.write_xyz_jmol(amplitude=amplitude, factor=self._factor) if anime_type == 'poscar': if filename: animation.write_POSCAR(band_index, amplitude, num_div, filename=filename) else: animation.write_POSCAR(band_index, amplitude, num_div) return True # Atomic modulation of normal mode def set_modulations(self, dimension, phonon_modes, delta_q=None, derivative_order=None, nac_q_direction=None): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._modulation = None return False self._modulation = Modulation(self._dynamical_matrix, dimension, phonon_modes, delta_q=delta_q, derivative_order=derivative_order, nac_q_direction=nac_q_direction, factor=self._factor) self._modulation.run() return True def get_modulated_supercells(self): """Returns cells with modulations as Atoms objects""" return self._modulation.get_modulated_supercells() def get_modulations_and_supercell(self): """Return modulations and supercell (modulations, supercell) modulations: Atomic modulations of supercell in Cartesian coordinates supercell: Supercell as an Atoms object. """ return self._modulation.get_modulations_and_supercell() def write_modulations(self): """Create MPOSCAR's""" self._modulation.write() def write_yaml_modulations(self): self._modulation.write_yaml() # Irreducible representation def set_irreps(self, q, is_little_cogroup=False, nac_q_direction=None, degeneracy_tolerance=1e-4): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._irreps = None return None self._irreps = IrReps( self._dynamical_matrix, q, is_little_cogroup=is_little_cogroup, nac_q_direction=nac_q_direction, factor=self._factor, symprec=self._symprec, degeneracy_tolerance=degeneracy_tolerance, log_level=self._log_level) return self._irreps.run() def get_irreps(self): return self._irreps def show_irreps(self, show_irreps=False): self._irreps.show(show_irreps=show_irreps) def write_yaml_irreps(self, show_irreps=False): self._irreps.write_yaml(show_irreps=show_irreps) # Group velocity def set_group_velocity(self, q_length=None): if self._dynamical_matrix is None: print("Warning: Dynamical matrix has not yet built.") self._group_velocity = None return False self._group_velocity = GroupVelocity( self._dynamical_matrix, q_length=q_length, symmetry=self._primitive_symmetry, frequency_factor_to_THz=self._factor) return True def get_group_velocity(self): return self._group_velocity.get_group_velocity() def get_group_velocity_at_q(self, q_point): if self._group_velocity is None: self.set_group_velocity() self._group_velocity.set_q_points([q_point]) return self._group_velocity.get_group_velocity()[0] # Moment def set_moment(self, order=1, is_projection=False, freq_min=None, freq_max=None): if self._mesh is None: print("Warning: set_mesh has to be done before set_moment") return False else: if is_projection: if self._mesh.get_eigenvectors() is None: print("Warning: Eigenvectors have to be calculated.") return False moment = PhononMoment( self._mesh.get_frequencies(), weights=self._mesh.get_weights(), eigenvectors=self._mesh.get_eigenvectors()) else: moment = PhononMoment( self._mesh.get_frequencies(), weights=self._mesh.get_weights()) if freq_min is not None or freq_max is not None: moment.set_frequency_range(freq_min=freq_min, freq_max=freq_max) moment.run(order=order) self._moment = moment.get_moment() return True def get_moment(self): return self._moment ################# # Local methods # ################# def _run_force_constants_from_forces(self, distributed_atom_list=None, decimals=None, computation_algorithm="svd"): if self._displacement_dataset is not None: self._force_constants = get_fc2( self._supercell, self._symmetry, self._displacement_dataset, atom_list=distributed_atom_list, decimals=decimals, computation_algorithm=computation_algorithm) def _set_dynamical_matrix(self): self._dynamical_matrix = None if (self._supercell is None or self._primitive is None): print("Bug: Supercell or primitive is not created.") return False elif self._force_constants is None: print("Warning: Force constants are not prepared.") return False elif self._primitive.get_masses() is None: print("Warning: Atomic masses are not correctly set.") return False else: if self._nac_params is None: self._dynamical_matrix = DynamicalMatrix( self._supercell, self._primitive, self._force_constants, decimals=self._dynamical_matrix_decimals, symprec=self._symprec) else: self._dynamical_matrix = DynamicalMatrixNAC( self._supercell, self._primitive, self._force_constants, nac_params=self._nac_params, decimals=self._dynamical_matrix_decimals, symprec=self._symprec) return True def _search_symmetry(self): self._symmetry = Symmetry(self._supercell, self._symprec, self._is_symmetry) def _search_primitive_symmetry(self): self._primitive_symmetry = Symmetry(self._primitive, self._symprec, self._is_symmetry) if (len(self._symmetry.get_pointgroup_operations()) != len(self._primitive_symmetry.get_pointgroup_operations())): print("Warning: Point group symmetries of supercell and primitive" "cell are different.") def _build_supercell(self): self._supercell = get_supercell(self._unitcell, self._supercell_matrix, self._symprec) def _build_supercells_with_displacements(self): supercells = [] for disp in self._displacement_dataset['first_atoms']: positions = self._supercell.get_positions() positions[disp['number']] += disp['displacement'] supercells.append(Atoms( numbers=self._supercell.get_atomic_numbers(), masses=self._supercell.get_masses(), magmoms=self._supercell.get_magnetic_moments(), positions=positions, cell=self._supercell.get_cell(), pbc=True)) self._supercells_with_displacements = supercells def _build_primitive_cell(self): """ primitive_matrix: Relative axes of primitive cell to the input unit cell. Relative axes to the supercell is calculated by: supercell_matrix^-1 * primitive_matrix Therefore primitive cell lattice is finally calculated by: (supercell_lattice * (supercell_matrix)^-1 * primitive_matrix)^T """ inv_supercell_matrix = np.linalg.inv(self._supercell_matrix) if self._primitive_matrix is None: trans_mat = inv_supercell_matrix else: trans_mat = np.dot(inv_supercell_matrix, self._primitive_matrix) self._primitive = get_primitive( self._supercell, trans_mat, self._symprec) num_satom = self._supercell.get_number_of_atoms() num_patom = self._primitive.get_number_of_atoms() if abs(num_satom * np.linalg.det(trans_mat) - num_patom) < 0.1: return True else: return False