def get_kpoints_weight(outcar, nkpts):
"""
:param outcar: content of the OUTCAR file (list of strings)
:param nkpts: number of kpoints (int)
:return:
"""
index_weight = bf.grep(outcar,
'k-points in reciprocal lattice and weights',
nb_found=1)[0][1]
index_weight_end = [
g for f, g in zip(outcar, range(len(outcar)))
if (f == ' ') & (g > index_weight)
][0]
kpoints_weights_str = outcar[index_weight + 1:index_weight_end]
kpoints_weights = np.transpose([[float(f) for f in q.split()]
for q in kpoints_weights_str])[-1]
if len(kpoints_weights) != nkpts:
raise bf.PydefImportError(
'Number of kpoint weights retrieved and number of kpoints are not consistent'
)
else:
return kpoints_weights
def get_electrostatic_potentials(outcar, atoms):
"""
:param outcar: content of the OUTCAR file (list of strings)
:param atoms: number of atoms of each atomic species (list of integers)
:return: electrostatic averaged potentials
"""
index_potentials = bf.grep(
outcar, 'average (electrostatic) potential at core',
nb_found=1)[0][1] # index where the potentials are
index_potentials_end = [
g for f, g in zip(outcar, range(len(outcar)))
if (f == ' ') & (g > index_potentials)
][0] # first blank line after the potentials
potentials_str = outcar[
index_potentials +
3:index_potentials_end] # all of potentials as strings
potentials_atom_nb = np.concatenate(
[[float(f) for f in re.split(' |-', q)[1:]]
for q in potentials_str]) # All potentials and corresponding atom
potentials = [-f[1] for f in np.split(potentials_atom_nb, len(atoms))]
if len(potentials) != len(atoms):
raise bf.PydefImportError(
'Number of electrostatic potentials retrieved and number are not consistent'
)
return dict(zip(list(atoms), potentials))
def get_band_occupation(outcar, nkpts, functional, nbands):
"""
:param outcar: content of the outcar file (list of strings)
:param nkpts: number of kpoints (int)
:param functional: functional used (string)
:param nbands: number of bands (int)
:return: last energy and occupation of the bands for each kpoint
"""
kpoints_indices = [f[1] for f in bf.grep(outcar, 'k-point ')[-nkpts:]
] # last k-points occupation calculated
if functional != 'G0W0@GGA' and functional != 'GW0@GGA':
nb_bands = [[
g
for f, g in zip(outcar, range(len(outcar))) if (f == '') & (g > h)
][0] for h in kpoints_indices
][0] - kpoints_indices[0] - 2 # number of bands
# check that the number of bands found is consistence with the number if bands retrieved previously
if nb_bands != nbands:
raise bf.PydefImportError(
'The number of bands retrieved from the kpoints is not consistent'
)
bands_str = [outcar[f + 2:f + nb_bands + 2] for f in kpoints_indices
] # band occupation for each k-points as strings
col_index = 1 # index of the column containing the energy
else:
nb_bands = [[
g
for f, g in zip(outcar, range(len(outcar))) if (f == '') & (g > h)
][0] for h in kpoints_indices
][1] - kpoints_indices[0] - 6 # number of bands
bands_str = [outcar[f + 3:f + 3 + nb_bands] for f in kpoints_indices
] # band occupation for each k-points as strings
col_index = 2 # index of the column containing the energy
bands_data = [
np.transpose([[float(s) for s in f.split()] for f in q])
for q in bands_str
] # band occupation for each k-points
return [[f[col_index], f[-1]] for f in bands_data
] # return energy and occupation for each k-point
def get_atoms_positions(outcar, atoms):
"""
:param outcar: content of the outcar file (list of strings)
:param atoms: number of atoms of each atomic species (list of integers)
:return: position of each atom as a dictionary
"""
index_beg = bf.grep(
outcar,
'position of ions in cartesian coordinates (Angst):',
nb_found=1)[0][1] + 1 # index of the first atom position
index_end = [
f[1] for f in bf.grep(outcar, '---------') if f[1] > index_beg
][0] - 3 # index of the last atom position
atoms_positions = [[float(f) for f in g.split()]
for g in outcar[index_beg:index_end]]
# Check that the number of positions retrieved is equal to the number of atoms
if len(atoms_positions) != len(atoms):
raise bf.PydefImportError(
"The number of atoms positions is not consistent with the total number of atoms"
)
else:
return dict(zip(atoms, atoms_positions))
def __init__(self, OUTCAR, DOSCAR):
"""
:param OUTCAR: location of the OUTCAR file (string)
:param DOSCAR: location of the DOSCAR file (string)
:return: an object containing data on the calculation
"""
# --------------------------------------------------- OUTCAR ---------------------------------------------------
self.OUTCAR = OUTCAR
self.DOSCAR = DOSCAR
self.outcar = bf.read_file(OUTCAR) # content of the OUTCAR file
if self.outcar[0][:6] != ' vasp.':
raise bf.PydefOutcarError(
'The given file appears to not be a valid OUTCAR file.')
# ------------------------------------------- CALCULATION PROPERTIES -------------------------------------------
self.functional, self.functional_title = get_functional(
self.outcar) # functional used
self.nedos = bf.grep(self.outcar, 'NEDOS =', 0, 'number of ions',
'int', 1) # number of point in the DOS
self.encut = bf.grep(self.outcar, 'ENCUT =', 0, 'eV', 'float',
1) # ENCUT used
self.ediff = bf.grep(self.outcar, 'EDIFF =', 0, 'stopping', 'float',
1) # EDIFF value
self.emin = bf.grep(self.outcar, 'EMIN =', 0, ';', 'float',
1) # minimum energy for the DOS
self.emax = bf.grep(self.outcar, 'EMAX =', 0, 'energy-range',
'float', 1) # maximum energy for the DOS
self.ismear = bf.grep(self.outcar, 'ISMEAR =', 0, ';', 'int',
1) # ISMEAR used
self.lorbit = bf.grep(self.outcar, 'LORBIT =', 0, '0 simple, 1 ext',
'int', 1) # LORBIT used
self.isym = bf.grep(self.outcar, 'ISYM =', 0, '0-nonsym', 'float',
1) # ISYM used
self.istart = bf.grep(self.outcar, 'ISTART =', 0, 'job', 'float',
1) # ISTART tag
# --------------------------------------------- SYSTEM PROPERTIES ----------------------------------------------
self.nb_atoms_tot = bf.grep(self.outcar, 'NIONS =', 0, False, 'int',
1) # total number of atoms
self.nb_atoms = [
int(f) for f in bf.grep(self.outcar, 'ions per type =', 0).split()
] # population of each atomic species
self.atoms_types = [
bf.grep(self.outcar, 'VRHFIN =', f, ':')
for f in range(len(bf.grep(self.outcar, 'VRHFIN =')))
] # atomic species
self.population = dict(zip(self.atoms_types, self.nb_atoms))
self.atoms_valence = [
int(float(f))
for f in bf.grep(self.outcar, 'ZVAL =', -1).split()
] # valence of each atomic species
self.atoms = np.concatenate(
[[f + ' (' + str(g) + ')' for g in range(1, q + 1)]
for f, q in zip(self.atoms_types, self.nb_atoms)]) # atoms list
self.nb_electrons = bf.grep(self.outcar, 'NELECT =', 0, 'total number',
'float', 1) # total number of electrons
self.charge = sum(
np.array(self.nb_atoms) *
np.array(self.atoms_valence)) - self.nb_electrons
self.orbitals = [
f for f in bf.grep(self.outcar, '# of ion', 0, 'tot').split(' ')
if f != ''
]
# verification of the consistence of the data retrieved
if self.nb_atoms_tot != sum(self.nb_atoms) or \
len(self.nb_atoms) != len(self.atoms_types) or \
len(self.nb_atoms) != len(self.atoms_valence):
raise bf.PydefImportError(
'Numbers of atoms retrieved are not consistent')
self.name, self.display_name = get_system_name(self.atoms_types,
self.nb_atoms, False)
self.rname, self.display_rname = get_system_name(
self.atoms_types, self.nb_atoms, True)
# --------------------------------------------- CALCULATION RESULT ---------------------------------------------
# Number of electronic steps
if self.functional != 'G0W0@GGA' and self.functional != 'GW0@GGA':
self.nb_iterations = len(bf.grep(
self.outcar, 'Iteration')) # for non GW calculations
else:
self.nb_iterations = bf.grep(self.outcar, 'NELM =', 0, 'number',
'int', 1) # for GW calculations
# Cristallographic properties
self.cell_parameters = get_cell_parameters(
self.outcar) # cristallographic parameters
self.atoms_positions = get_atoms_positions(
self.outcar, self.atoms) # atoms positions
# Energy & Density of states
self.energy = bf.grep(self.outcar, 'free energy TOTEN =', -1, 'eV',
'float', self.nb_iterations) # total energy
self.fermi_energy = bf.grep(self.outcar, ' BZINTS: Fermi energy:', -1,
';', 'float') # fermi energy
if self.ismear == 0:
self.fermi_energy = bf.grep(self.outcar,
'E-fermi :',
0,
'XC(G=0)',
'float',
nb_found=1)
self.nkpts = bf.grep(self.outcar, 'NKPTS =', 0, 'k-points in BZ',
'int', 1) # number of k-points
self.kpoints_weights = get_kpoints_weight(self.outcar, self.nkpts)
self.nbands = bf.grep(self.outcar, 'NBANDS=', 0, False, 'int',
1) # number of bands
self.bands_data = get_band_occupation(
self.outcar, self.nkpts, self.functional,
self.nbands) # bands energy and occupation
self.VBM, self.CBM = get_band_extrema(
self.bands_data) # VBM and CBM energies
self.gap = self.CBM - self.VBM # electronic gap
if self.functional != 'G0W0@GGA' and self.functional != 'GW0@GGA':
self.potentials = get_electrostatic_potentials(
self.outcar, self.atoms) # electrostatic averaged potentials
else:
self.potentials = None
# --------------------------------------------------- OTHERS ---------------------------------------------------
self.ID = ''.join([f + str(g) for f, g in zip(self.atoms_types, self.nb_atoms)]) + '_' + self.functional\
+ '_q' + str(int(self.charge))
self.title = self.display_name + ' ' + self.functional_title + ' q=%.0f' % self.charge # title of the plot
# --------------------------------------------------- DOSCAR ---------------------------------------------------
if self.DOSCAR != '':
self.doscar = bf.read_file(DOSCAR) # content of the DOSCAR file
# Check that the OUTCAR and DOSCAR files are consistent
if self.lorbit == 11:
if len(self.doscar) != 6 + sum(
self.nb_atoms) * (self.nedos + 1) + self.nedos:
raise bf.PydefDoscarError(
'The DOSCAR file is inconsistent with the OUTCAR file')
else:
if len(self.doscar) != 6 + sum(
self.nb_atoms
): # Beware of the white line at the end of the file
raise bf.PydefDoscarError(
'The DOSCAR file is inconsistent with the OUTCAR file')
dos_data = np.transpose([[float(f) for f in q.split()]
for q in self.doscar[6:self.nedos + 6]
])[1]
self.dosmax = max(dos_data) # maximum value of the total DOS
self.dpp = Dos_Plot_Parameters(self) # DOS plot parameters