class Phono3py:
def __init__(self,
unitcell,
supercell_matrix,
primitive_matrix=None,
phonon_supercell_matrix=None,
mesh=None,
band_indices=None,
sigmas=[],
cutoff_frequency=1e-4,
frequency_factor_to_THz=VaspToTHz,
is_symmetry=True,
is_nosym=False,
symmetrize_fc3_q=False,
symprec=1e-5,
log_level=0,
lapack_zheev_uplo='L'):
self._symprec = symprec
self._sigmas = sigmas
self._frequency_factor_to_THz = frequency_factor_to_THz
self._is_symmetry = is_symmetry
self._is_nosym = is_nosym
self._lapack_zheev_uplo = lapack_zheev_uplo
self._symmetrize_fc3_q = symmetrize_fc3_q
self._cutoff_frequency = cutoff_frequency
self._log_level = log_level
# Create supercell and primitive cell
self._unitcell = unitcell
self._supercell_matrix = supercell_matrix
self._primitive_matrix = primitive_matrix
self._phonon_supercell_matrix = phonon_supercell_matrix # optional
self._supercell = None
self._primitive = None
self._phonon_supercell = None
self._phonon_primitive = None
self._build_supercell()
self._build_primitive_cell()
self._build_phonon_supercell()
self._build_phonon_primitive_cell()
# Set supercell, primitive, and phonon supercell symmetries
self._symmetry = None
self._primitive_symmetry = None
self._phonon_supercell_symmetry = None
self._search_symmetry()
self._search_primitive_symmetry()
self._search_phonon_supercell_symmetry()
# Displacements and supercells
self._supercells_with_displacements = None
self._displacement_dataset = None
self._phonon_displacement_dataset = None
self._phonon_supercells_with_displacements = None
# Thermal conductivity
self._thermal_conductivity = None # conductivity_RTA object
# Imaginary part of self energy at frequency points
self._imag_self_energy = None
self._scattering_event_class = None
# Linewidth (Imaginary part of self energy x 2) at temperatures
self._linewidth = None
self._grid_points = None
self._frequency_points = None
self._temperatures = None
# Other variables
self._fc2 = None
self._fc3 = None
# Setup interaction
self._interaction = None
self._mesh = None
self._band_indices = None
self._band_indices_flatten = None
if mesh is not None:
self._mesh = np.array(mesh, dtype='intc')
if band_indices is None:
num_band = self._primitive.get_number_of_atoms() * 3
self._band_indices = [np.arange(num_band)]
else:
self._band_indices = band_indices
self._band_indices_flatten = np.hstack(
self._band_indices).astype('intc')
def set_phph_interaction(self,
nac_params=None,
nac_q_direction=None,
use_Peierls_model=False,
frequency_scale_factor=None):
self._interaction = Interaction(
self._supercell,
self._primitive,
self._mesh,
self._primitive_symmetry,
fc3=self._fc3,
band_indices=self._band_indices_flatten,
use_Peierls_model=use_Peierls_model,
frequency_factor_to_THz=self._frequency_factor_to_THz,
cutoff_frequency=self._cutoff_frequency,
is_nosym=self._is_nosym,
symmetrize_fc3_q=self._symmetrize_fc3_q,
lapack_zheev_uplo=self._lapack_zheev_uplo)
self._interaction.set_dynamical_matrix(
self._fc2,
self._phonon_supercell,
self._phonon_primitive,
nac_params=nac_params,
frequency_scale_factor=frequency_scale_factor)
self._interaction.set_nac_q_direction(nac_q_direction=nac_q_direction)
def generate_displacements(self,
distance=0.03,
cutoff_pair_distance=None,
is_plusminus='auto',
is_diagonal=True):
direction_dataset = get_third_order_displacements(
self._supercell,
self._symmetry,
is_plusminus=is_plusminus,
is_diagonal=is_diagonal)
self._displacement_dataset = direction_to_displacement(
direction_dataset,
distance,
self._supercell,
cutoff_distance=cutoff_pair_distance)
if self._phonon_supercell_matrix is not None:
phonon_displacement_directions = get_least_displacements(
self._phonon_supercell_symmetry,
is_plusminus=is_plusminus,
is_diagonal=False)
self._phonon_displacement_dataset = direction_to_displacement_fc2(
phonon_displacement_directions, distance,
self._phonon_supercell)
def produce_fc2(self,
forces_fc2,
displacement_dataset=None,
is_permutation_symmetry=False,
translational_symmetry_type=0):
if displacement_dataset is None:
disp_dataset = self._displacement_dataset
else:
disp_dataset = displacement_dataset
for forces, disp1 in zip(forces_fc2, disp_dataset['first_atoms']):
disp1['forces'] = forces
self._fc2 = get_fc2(self._phonon_supercell,
self._phonon_supercell_symmetry, disp_dataset)
if is_permutation_symmetry:
set_permutation_symmetry(self._fc2)
if translational_symmetry_type:
set_translational_invariance(
self._fc2,
translational_symmetry_type=translational_symmetry_type)
def produce_fc3(
self,
forces_fc3,
displacement_dataset=None,
cutoff_distance=None, # set fc3 zero
translational_symmetry_type=0,
is_permutation_symmetry=False):
if displacement_dataset is None:
disp_dataset = self._displacement_dataset
else:
disp_dataset = displacement_dataset
for forces, disp1 in zip(forces_fc3, disp_dataset['first_atoms']):
disp1['forces'] = forces
fc2 = get_fc2(self._supercell, self._symmetry, disp_dataset)
if is_permutation_symmetry:
set_permutation_symmetry(fc2)
if translational_symmetry_type:
set_translational_invariance(
fc2, translational_symmetry_type=translational_symmetry_type)
count = len(disp_dataset['first_atoms'])
for disp1 in disp_dataset['first_atoms']:
for disp2 in disp1['second_atoms']:
disp2['delta_forces'] = forces_fc3[count] - disp1['forces']
count += 1
self._fc3 = get_fc3(
self._supercell,
disp_dataset,
fc2,
self._symmetry,
translational_symmetry_type=translational_symmetry_type,
is_permutation_symmetry=is_permutation_symmetry,
verbose=self._log_level)
# Set fc3 elements zero beyond cutoff_distance
if cutoff_distance:
if self._log_level:
print("Cutting-off fc3 by zero (cut-off distance: %f)" %
cutoff_distance)
self.cutoff_fc3_by_zero(cutoff_distance)
# Set fc2
if self._fc2 is None:
self._fc2 = fc2
def cutoff_fc3_by_zero(self, cutoff_distance):
cutoff_fc3_by_zero(self._fc3, self._supercell, cutoff_distance,
self._symprec)
def set_permutation_symmetry(self):
if self._fc2 is not None:
set_permutation_symmetry(self._fc2)
if self._fc3 is not None:
set_permutation_symmetry_fc3(self._fc3)
def set_translational_invariance(self, translational_symmetry_type=1):
if self._fc2 is not None:
set_translational_invariance(
self._fc2,
translational_symmetry_type=translational_symmetry_type)
if self._fc3 is not None:
set_translational_invariance_fc3(
self._fc3,
translational_symmetry_type=translational_symmetry_type)
def get_interaction_strength(self):
return self._interaction
def get_fc2(self):
return self._fc2
def set_fc2(self, fc2):
self._fc2 = fc2
def get_fc3(self):
return self._fc3
def set_fc3(self, fc3):
self._fc3 = fc3
def get_primitive(self):
return self._primitive
def get_unitcell(self):
return self._unitcell
def get_supercell(self):
return self._supercell
def get_phonon_supercell(self):
return self._phonon_supercell
def get_phonon_primitive(self):
return self._phonon_primitive
def get_symmetry(self):
"""return symmetry of supercell"""
return self._symmetry
def get_primitive_symmetry(self):
return self._primitive_symmetry
def get_phonon_supercell_symmetry(self):
return self._phonon_supercell_symmetry
def set_displacement_dataset(self, dataset):
self._displacement_dataset = dataset
def get_displacement_dataset(self):
return self._displacement_dataset
def get_phonon_displacement_dataset(self):
return self._phonon_displacement_dataset
def get_supercells_with_displacements(self):
if self._supercells_with_displacements is None:
self._build_supercells_with_displacements()
return self._supercells_with_displacements
def get_phonon_supercells_with_displacements(self):
if self._phonon_supercells_with_displacements is None:
if self._phonon_displacement_dataset is not None:
self._phonon_supercells_with_displacements = \
self._build_phonon_supercells_with_displacements(
self._phonon_supercell,
self._phonon_displacement_dataset)
return self._phonon_supercells_with_displacements
def run_imag_self_energy(self,
grid_points,
frequency_step=None,
num_frequency_points=None,
temperatures=[0.0, 300.0],
scattering_event_class=None):
self._grid_points = grid_points
self._temperatures = temperatures
self._scattering_event_class = scattering_event_class
self._imag_self_energy, self._frequency_points = get_imag_self_energy(
self._interaction,
grid_points,
self._sigmas,
frequency_step=frequency_step,
num_frequency_points=num_frequency_points,
temperatures=temperatures,
scattering_event_class=scattering_event_class,
log_level=self._log_level)
def write_imag_self_energy(self, filename=None):
write_imag_self_energy(
self._imag_self_energy,
self._mesh,
self._grid_points,
self._band_indices,
self._frequency_points,
self._temperatures,
self._sigmas,
scattering_event_class=self._scattering_event_class,
filename=filename)
def run_linewidth(self,
grid_points,
temperatures=np.arange(0, 1001, 10, dtype='double')):
self._grid_points = grid_points
self._temperatures = temperatures
self._linewidth = get_linewidth(self._interaction,
grid_points,
self._sigmas,
temperatures=temperatures,
log_level=self._log_level)
def write_linewidth(self, filename=None):
write_linewidth(self._linewidth,
self._band_indices,
self._mesh,
self._grid_points,
self._sigmas,
self._temperatures,
filename=filename)
def run_thermal_conductivity(
self,
is_LBTE=True,
temperatures=np.arange(0, 1001, 10, dtype='double'),
sigmas=[],
is_isotope=False,
mass_variances=None,
grid_points=None,
mesh_divisors=None,
coarse_mesh_shifts=None,
cutoff_mfp=None, # in micrometre
is_reducible_collision_matrix=False,
no_kappa_stars=False,
gv_delta_q=None, # for group velocity
pinv_cutoff=1.0e-8, # for pseudo-inversion of collision matrix
write_gamma=False,
read_gamma=False,
write_collision=False,
read_collision=False,
write_amplitude=False,
read_amplitude=False,
input_filename=None,
output_filename=None):
if is_LBTE:
self._thermal_conductivity = get_thermal_conductivity_LBTE(
self._interaction,
self._primitive_symmetry,
temperatures=temperatures,
sigmas=self._sigmas,
is_isotope=is_isotope,
mass_variances=mass_variances,
grid_points=grid_points,
cutoff_mfp=cutoff_mfp,
is_reducible_collision_matrix=is_reducible_collision_matrix,
no_kappa_stars=no_kappa_stars,
gv_delta_q=gv_delta_q,
pinv_cutoff=pinv_cutoff,
write_collision=write_collision,
read_collision=read_collision,
input_filename=input_filename,
output_filename=output_filename,
log_level=self._log_level)
else:
self._thermal_conductivity = get_thermal_conductivity_RTA(
self._interaction,
self._primitive_symmetry,
temperatures=temperatures,
sigmas=self._sigmas,
is_isotope=is_isotope,
mass_variances=mass_variances,
grid_points=grid_points,
mesh_divisors=mesh_divisors,
coarse_mesh_shifts=coarse_mesh_shifts,
cutoff_mfp=cutoff_mfp,
no_kappa_stars=no_kappa_stars,
gv_delta_q=gv_delta_q,
write_gamma=write_gamma,
read_gamma=read_gamma,
input_filename=input_filename,
output_filename=output_filename,
log_level=self._log_level)
def get_thermal_conductivity(self):
return self._thermal_conductivity
def get_frequency_shift(self,
grid_points,
epsilon=0.1,
temperatures=np.arange(0, 1001, 10,
dtype='double'),
output_filename=None):
fst = FrequencyShift(self._interaction)
for gp in grid_points:
fst.set_grid_point(gp)
if self._log_level:
weights = self._interaction.get_triplets_at_q()[1]
print "------ Frequency shift -o- ------"
print "Number of ir-triplets:",
print "%d / %d" % (len(weights), weights.sum())
fst.run_interaction()
fst.set_epsilon(epsilon)
delta = np.zeros(
(len(temperatures), len(self._band_indices_flatten)),
dtype='double')
for i, t in enumerate(temperatures):
fst.set_temperature(t)
fst.run()
delta[i] = fst.get_frequency_shift()
for i, bi in enumerate(self._band_indices):
pos = 0
for j in range(i):
pos += len(self._band_indices[j])
write_frequency_shift(gp,
bi,
temperatures,
delta[:, pos:(pos + len(bi))],
self._mesh,
epsilon=epsilon,
filename=output_filename)
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 _search_phonon_supercell_symmetry(self):
if self._phonon_supercell_matrix is None:
self._phonon_supercell_symmetry = self._symmetry
else:
self._phonon_supercell_symmetry = Symmetry(self._phonon_supercell,
self._symprec,
self._is_symmetry)
def _build_supercell(self):
self._supercell = get_supercell(self._unitcell, self._supercell_matrix,
self._symprec)
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
"""
self._primitive = self._get_primitive_cell(self._supercell,
self._supercell_matrix,
self._primitive_matrix)
def _build_phonon_supercell(self):
"""
phonon_supercell:
This supercell is used for harmonic phonons (frequencies,
eigenvectors, group velocities, ...)
phonon_supercell_matrix:
Different supercell size can be specified.
"""
if self._phonon_supercell_matrix is None:
self._phonon_supercell = self._supercell
else:
self._phonon_supercell = get_supercell(
self._unitcell, self._phonon_supercell_matrix, self._symprec)
def _build_phonon_primitive_cell(self):
if self._phonon_supercell_matrix is None:
self._phonon_primitive = self._primitive
else:
self._phonon_primitive = self._get_primitive_cell(
self._phonon_supercell, self._phonon_supercell_matrix,
self._primitive_matrix)
def _build_phonon_supercells_with_displacements(self, supercell,
displacement_dataset):
supercells = []
magmoms = supercell.get_magnetic_moments()
masses = supercell.get_masses()
numbers = supercell.get_atomic_numbers()
lattice = supercell.get_cell()
for disp1 in displacement_dataset['first_atoms']:
disp_cart1 = disp1['displacement']
positions = supercell.get_positions()
positions[disp1['number']] += disp_cart1
supercells.append(
Atoms(numbers=numbers,
masses=masses,
magmoms=magmoms,
positions=positions,
cell=lattice,
pbc=True))
return supercells
def _build_supercells_with_displacements(self):
supercells = []
magmoms = self._supercell.get_magnetic_moments()
masses = self._supercell.get_masses()
numbers = self._supercell.get_atomic_numbers()
lattice = self._supercell.get_cell()
supercells = self._build_phonon_supercells_with_displacements(
self._supercell, self._displacement_dataset)
for disp1 in self._displacement_dataset['first_atoms']:
disp_cart1 = disp1['displacement']
for disp2 in disp1['second_atoms']:
if 'included' in disp2:
included = disp2['included']
else:
included = True
if included:
positions = self._supercell.get_positions()
positions[disp1['number']] += disp_cart1
positions[disp2['number']] += disp2['displacement']
supercells.append(
Atoms(numbers=numbers,
masses=masses,
magmoms=magmoms,
positions=positions,
cell=lattice,
pbc=True))
else:
supercells.append(None)
self._supercells_with_displacements = supercells
def _get_primitive_cell(self, supercell, supercell_matrix,
primitive_matrix):
inv_supercell_matrix = np.linalg.inv(supercell_matrix)
if primitive_matrix is None:
t_mat = inv_supercell_matrix
else:
t_mat = np.dot(inv_supercell_matrix, primitive_matrix)
return get_primitive(supercell, t_mat, self._symprec)
class Phono3py:
def __init__(self,
unitcell,
supercell_matrix,
primitive_matrix=None,
phonon_supercell_matrix=None,
mesh=None,
band_indices=None,
sigmas=[],
cutoff_frequency=1e-4,
frequency_factor_to_THz=VaspToTHz,
is_symmetry=True,
is_nosym=False,
symmetrize_fc3_q=False,
symprec=1e-5,
log_level=0,
lapack_zheev_uplo='L'):
self._symprec = symprec
self._sigmas = sigmas
self._frequency_factor_to_THz = frequency_factor_to_THz
self._is_symmetry = is_symmetry
self._is_nosym = is_nosym
self._lapack_zheev_uplo = lapack_zheev_uplo
self._symmetrize_fc3_q = symmetrize_fc3_q
self._cutoff_frequency = cutoff_frequency
self._log_level = log_level
# Create supercell and primitive cell
self._unitcell = unitcell
self._supercell_matrix = supercell_matrix
self._primitive_matrix = primitive_matrix
self._phonon_supercell_matrix = phonon_supercell_matrix # optional
self._supercell = None
self._primitive = None
self._phonon_supercell = None
self._phonon_primitive = None
self._build_supercell()
self._build_primitive_cell()
self._build_phonon_supercell()
self._build_phonon_primitive_cell()
# Set supercell, primitive, and phonon supercell symmetries
self._symmetry = None
self._primitive_symmetry = None
self._phonon_supercell_symmetry = None
self._search_symmetry()
self._search_primitive_symmetry()
self._search_phonon_supercell_symmetry()
# Displacements and supercells
self._supercells_with_displacements = None
self._displacement_dataset = None
self._phonon_displacement_dataset = None
self._phonon_supercells_with_displacements = None
# Thermal conductivity
self._thermal_conductivity = None # conductivity_RTA object
# Imaginary part of self energy at frequency points
self._imag_self_energy = None
self._scattering_event_class = None
# Linewidth (Imaginary part of self energy x 2) at temperatures
self._linewidth = None
self._grid_points = None
self._frequency_points = None
self._temperatures = None
# Other variables
self._fc2 = None
self._fc3 = None
# Setup interaction
self._interaction = None
self._mesh = None
self._band_indices = None
self._band_indices_flatten = None
if mesh is not None:
self._mesh = np.array(mesh, dtype='intc')
if band_indices is None:
num_band = self._primitive.get_number_of_atoms() * 3
self._band_indices = [np.arange(num_band)]
else:
self._band_indices = band_indices
self._band_indices_flatten = np.hstack(self._band_indices).astype('intc')
def set_phph_interaction(self,
nac_params=None,
nac_q_direction=None,
use_Peierls_model=False,
frequency_scale_factor=None):
self._interaction = Interaction(
self._supercell,
self._primitive,
self._mesh,
self._primitive_symmetry,
fc3=self._fc3,
band_indices=self._band_indices_flatten,
use_Peierls_model=use_Peierls_model,
frequency_factor_to_THz=self._frequency_factor_to_THz,
cutoff_frequency=self._cutoff_frequency,
is_nosym=self._is_nosym,
symmetrize_fc3_q=self._symmetrize_fc3_q,
lapack_zheev_uplo=self._lapack_zheev_uplo)
self._interaction.set_dynamical_matrix(
self._fc2,
self._phonon_supercell,
self._phonon_primitive,
nac_params=nac_params,
frequency_scale_factor=frequency_scale_factor)
self._interaction.set_nac_q_direction(nac_q_direction=nac_q_direction)
def generate_displacements(self,
distance=0.03,
cutoff_pair_distance=None,
is_plusminus='auto',
is_diagonal=True):
direction_dataset = get_third_order_displacements(
self._supercell,
self._symmetry,
is_plusminus=is_plusminus,
is_diagonal=is_diagonal)
self._displacement_dataset = direction_to_displacement(
direction_dataset,
distance,
self._supercell,
cutoff_distance=cutoff_pair_distance)
if self._phonon_supercell_matrix is not None:
phonon_displacement_directions = get_least_displacements(
self._phonon_supercell_symmetry,
is_plusminus=is_plusminus,
is_diagonal=False)
self._phonon_displacement_dataset = direction_to_displacement_fc2(
phonon_displacement_directions,
distance,
self._phonon_supercell)
def produce_fc2(self,
forces_fc2,
displacement_dataset=None,
is_permutation_symmetry=False,
translational_symmetry_type=0):
if displacement_dataset is None:
disp_dataset = self._displacement_dataset
else:
disp_dataset = displacement_dataset
for forces, disp1 in zip(forces_fc2, disp_dataset['first_atoms']):
disp1['forces'] = forces
self._fc2 = get_fc2(self._phonon_supercell,
self._phonon_supercell_symmetry,
disp_dataset)
if is_permutation_symmetry:
set_permutation_symmetry(self._fc2)
if translational_symmetry_type:
set_translational_invariance(
self._fc2,
translational_symmetry_type=translational_symmetry_type)
def produce_fc3(self,
forces_fc3,
displacement_dataset=None,
cutoff_distance=None, # set fc3 zero
translational_symmetry_type=0,
is_permutation_symmetry=False):
if displacement_dataset is None:
disp_dataset = self._displacement_dataset
else:
disp_dataset = displacement_dataset
for forces, disp1 in zip(forces_fc3, disp_dataset['first_atoms']):
disp1['forces'] = forces
fc2 = get_fc2(self._supercell, self._symmetry, disp_dataset)
if is_permutation_symmetry:
set_permutation_symmetry(fc2)
if translational_symmetry_type:
set_translational_invariance(
fc2,
translational_symmetry_type=translational_symmetry_type)
count = len(disp_dataset['first_atoms'])
for disp1 in disp_dataset['first_atoms']:
for disp2 in disp1['second_atoms']:
disp2['delta_forces'] = forces_fc3[count] - disp1['forces']
count += 1
self._fc3 = get_fc3(
self._supercell,
disp_dataset,
fc2,
self._symmetry,
translational_symmetry_type=translational_symmetry_type,
is_permutation_symmetry=is_permutation_symmetry,
verbose=self._log_level)
# Set fc3 elements zero beyond cutoff_distance
if cutoff_distance:
if self._log_level:
print ("Cutting-off fc3 by zero (cut-off distance: %f)" %
cutoff_distance)
self.cutoff_fc3_by_zero(cutoff_distance)
# Set fc2
if self._fc2 is None:
self._fc2 = fc2
def cutoff_fc3_by_zero(self, cutoff_distance):
cutoff_fc3_by_zero(self._fc3,
self._supercell,
cutoff_distance,
self._symprec)
def set_permutation_symmetry(self):
if self._fc2 is not None:
set_permutation_symmetry(self._fc2)
if self._fc3 is not None:
set_permutation_symmetry_fc3(self._fc3)
def set_translational_invariance(self,
translational_symmetry_type=1):
if self._fc2 is not None:
set_translational_invariance(
self._fc2,
translational_symmetry_type=translational_symmetry_type)
if self._fc3 is not None:
set_translational_invariance_fc3(
self._fc3,
translational_symmetry_type=translational_symmetry_type)
def get_interaction_strength(self):
return self._interaction
def get_fc2(self):
return self._fc2
def set_fc2(self, fc2):
self._fc2 = fc2
def get_fc3(self):
return self._fc3
def set_fc3(self, fc3):
self._fc3 = fc3
def get_primitive(self):
return self._primitive
def get_unitcell(self):
return self._unitcell
def get_supercell(self):
return self._supercell
def get_phonon_supercell(self):
return self._phonon_supercell
def get_phonon_primitive(self):
return self._phonon_primitive
def get_symmetry(self):
"""return symmetry of supercell"""
return self._symmetry
def get_primitive_symmetry(self):
return self._primitive_symmetry
def get_phonon_supercell_symmetry(self):
return self._phonon_supercell_symmetry
def set_displacement_dataset(self, dataset):
self._displacement_dataset = dataset
def get_displacement_dataset(self):
return self._displacement_dataset
def get_phonon_displacement_dataset(self):
return self._phonon_displacement_dataset
def get_supercells_with_displacements(self):
if self._supercells_with_displacements is None:
self._build_supercells_with_displacements()
return self._supercells_with_displacements
def get_phonon_supercells_with_displacements(self):
if self._phonon_supercells_with_displacements is None:
if self._phonon_displacement_dataset is not None:
self._phonon_supercells_with_displacements = \
self._build_phonon_supercells_with_displacements(
self._phonon_supercell,
self._phonon_displacement_dataset)
return self._phonon_supercells_with_displacements
def run_imag_self_energy(self,
grid_points,
frequency_step=None,
num_frequency_points=None,
temperatures=[0.0, 300.0],
scattering_event_class=None):
self._grid_points = grid_points
self._temperatures = temperatures
self._scattering_event_class = scattering_event_class
self._imag_self_energy, self._frequency_points = get_imag_self_energy(
self._interaction,
grid_points,
self._sigmas,
frequency_step=frequency_step,
num_frequency_points=num_frequency_points,
temperatures=temperatures,
scattering_event_class=scattering_event_class,
log_level=self._log_level)
def write_imag_self_energy(self, filename=None):
write_imag_self_energy(
self._imag_self_energy,
self._mesh,
self._grid_points,
self._band_indices,
self._frequency_points,
self._temperatures,
self._sigmas,
scattering_event_class=self._scattering_event_class,
filename=filename)
def run_linewidth(self,
grid_points,
temperatures=np.arange(0, 1001, 10, dtype='double')):
self._grid_points = grid_points
self._temperatures = temperatures
self._linewidth = get_linewidth(self._interaction,
grid_points,
self._sigmas,
temperatures=temperatures,
log_level=self._log_level)
def write_linewidth(self, filename=None):
write_linewidth(self._linewidth,
self._band_indices,
self._mesh,
self._grid_points,
self._sigmas,
self._temperatures,
filename=filename)
def run_thermal_conductivity(
self,
is_LBTE=True,
temperatures=np.arange(0, 1001, 10, dtype='double'),
sigmas=[],
is_isotope=False,
mass_variances=None,
grid_points=None,
mesh_divisors=None,
coarse_mesh_shifts=None,
cutoff_mfp=None, # in micrometre
is_reducible_collision_matrix=False,
no_kappa_stars=False,
gv_delta_q=None, # for group velocity
pinv_cutoff=1.0e-8, # for pseudo-inversion of collision matrix
write_gamma=False,
read_gamma=False,
write_collision=False,
read_collision=False,
write_amplitude=False,
read_amplitude=False,
input_filename=None,
output_filename=None):
if is_LBTE:
self._thermal_conductivity = get_thermal_conductivity_LBTE(
self._interaction,
self._primitive_symmetry,
temperatures=temperatures,
sigmas=self._sigmas,
is_isotope=is_isotope,
mass_variances=mass_variances,
grid_points=grid_points,
cutoff_mfp=cutoff_mfp,
is_reducible_collision_matrix=is_reducible_collision_matrix,
no_kappa_stars=no_kappa_stars,
gv_delta_q=gv_delta_q,
pinv_cutoff=pinv_cutoff,
write_collision=write_collision,
read_collision=read_collision,
input_filename=input_filename,
output_filename=output_filename,
log_level=self._log_level)
else:
self._thermal_conductivity = get_thermal_conductivity_RTA(
self._interaction,
self._primitive_symmetry,
temperatures=temperatures,
sigmas=self._sigmas,
is_isotope=is_isotope,
mass_variances=mass_variances,
grid_points=grid_points,
mesh_divisors=mesh_divisors,
coarse_mesh_shifts=coarse_mesh_shifts,
cutoff_mfp=cutoff_mfp,
no_kappa_stars=no_kappa_stars,
gv_delta_q=gv_delta_q,
write_gamma=write_gamma,
read_gamma=read_gamma,
input_filename=input_filename,
output_filename=output_filename,
log_level=self._log_level)
def get_thermal_conductivity(self):
return self._thermal_conductivity
def get_frequency_shift(self,
grid_points,
epsilon=0.1,
temperatures=np.arange(0, 1001, 10, dtype='double'),
output_filename=None):
fst = FrequencyShift(self._interaction)
for gp in grid_points:
fst.set_grid_point(gp)
if self._log_level:
weights = self._interaction.get_triplets_at_q()[1]
print "------ Frequency shift -o- ------"
print "Number of ir-triplets:",
print "%d / %d" % (len(weights), weights.sum())
fst.run_interaction()
fst.set_epsilon(epsilon)
delta = np.zeros((len(temperatures),
len(self._band_indices_flatten)),
dtype='double')
for i, t in enumerate(temperatures):
fst.set_temperature(t)
fst.run()
delta[i] = fst.get_frequency_shift()
for i, bi in enumerate(self._band_indices):
pos = 0
for j in range(i):
pos += len(self._band_indices[j])
write_frequency_shift(gp,
bi,
temperatures,
delta[:, pos:(pos+len(bi))],
self._mesh,
epsilon=epsilon,
filename=output_filename)
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 _search_phonon_supercell_symmetry(self):
if self._phonon_supercell_matrix is None:
self._phonon_supercell_symmetry = self._symmetry
else:
self._phonon_supercell_symmetry = Symmetry(self._phonon_supercell,
self._symprec,
self._is_symmetry)
def _build_supercell(self):
self._supercell = get_supercell(self._unitcell,
self._supercell_matrix,
self._symprec)
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
"""
self._primitive = self._get_primitive_cell(
self._supercell, self._supercell_matrix, self._primitive_matrix)
def _build_phonon_supercell(self):
"""
phonon_supercell:
This supercell is used for harmonic phonons (frequencies,
eigenvectors, group velocities, ...)
phonon_supercell_matrix:
Different supercell size can be specified.
"""
if self._phonon_supercell_matrix is None:
self._phonon_supercell = self._supercell
else:
self._phonon_supercell = get_supercell(
self._unitcell, self._phonon_supercell_matrix, self._symprec)
def _build_phonon_primitive_cell(self):
if self._phonon_supercell_matrix is None:
self._phonon_primitive = self._primitive
else:
self._phonon_primitive = self._get_primitive_cell(
self._phonon_supercell,
self._phonon_supercell_matrix,
self._primitive_matrix)
def _build_phonon_supercells_with_displacements(self,
supercell,
displacement_dataset):
supercells = []
magmoms = supercell.get_magnetic_moments()
masses = supercell.get_masses()
numbers = supercell.get_atomic_numbers()
lattice = supercell.get_cell()
for disp1 in displacement_dataset['first_atoms']:
disp_cart1 = disp1['displacement']
positions = supercell.get_positions()
positions[disp1['number']] += disp_cart1
supercells.append(
Atoms(numbers=numbers,
masses=masses,
magmoms=magmoms,
positions=positions,
cell=lattice,
pbc=True))
return supercells
def _build_supercells_with_displacements(self):
supercells = []
magmoms = self._supercell.get_magnetic_moments()
masses = self._supercell.get_masses()
numbers = self._supercell.get_atomic_numbers()
lattice = self._supercell.get_cell()
supercells = self._build_phonon_supercells_with_displacements(
self._supercell,
self._displacement_dataset)
for disp1 in self._displacement_dataset['first_atoms']:
disp_cart1 = disp1['displacement']
for disp2 in disp1['second_atoms']:
if 'included' in disp2:
included = disp2['included']
else:
included = True
if included:
positions = self._supercell.get_positions()
positions[disp1['number']] += disp_cart1
positions[disp2['number']] += disp2['displacement']
supercells.append(Atoms(numbers=numbers,
masses=masses,
magmoms=magmoms,
positions=positions,
cell=lattice,
pbc=True))
else:
supercells.append(None)
self._supercells_with_displacements = supercells
def _get_primitive_cell(self, supercell, supercell_matrix, primitive_matrix):
inv_supercell_matrix = np.linalg.inv(supercell_matrix)
if primitive_matrix is None:
t_mat = inv_supercell_matrix
else:
t_mat = np.dot(inv_supercell_matrix, primitive_matrix)
return get_primitive(supercell, t_mat, self._symprec)
