def _allocate_values(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_grid_points = len(self._grid_points)
num_ir_grid_points = len(self._ir_grid_points)
self._kappa = np.zeros((len(self._sigmas),
len(self._temperatures),
6), dtype='double')
self._gv = np.zeros((num_grid_points,
num_band,
3), dtype='double')
self._mean_square_pp_strength = np.zeros((num_grid_points, num_band),
dtype='double')
self._gamma = np.zeros((len(self._sigmas),
len(self._temperatures),
num_grid_points,
num_band), dtype='double')
if self._isotope is not None:
self._gamma_iso = np.zeros((len(self._sigmas),
num_grid_points,
num_band), dtype='double')
if self._is_reducible_collision_matrix:
num_mesh_points = np.prod(self._mesh)
self._collision = CollisionMatrix(
self._pp,
is_reducible_collision_matrix=True)
self._collision_matrix = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_grid_points, num_band, num_mesh_points, num_band),
dtype='double')
else:
self._rot_grid_points = np.zeros(
(len(self._ir_grid_points), len(self._point_operations)),
dtype='intc')
self._rot_BZ_grid_points = np.zeros(
(len(self._ir_grid_points), len(self._point_operations)),
dtype='intc')
for i, ir_gp in enumerate(self._ir_grid_points):
self._rot_grid_points[i] = get_grid_points_by_rotations(
self._grid_address[ir_gp],
self._point_operations,
self._mesh)
self._rot_BZ_grid_points[i] = get_BZ_grid_points_by_rotations(
self._grid_address[ir_gp],
self._point_operations,
self._mesh,
self._pp.get_bz_map())
self._collision = CollisionMatrix(
self._pp,
point_operations=self._point_operations,
ir_grid_points=self._ir_grid_points,
rotated_grid_points=self._rot_BZ_grid_points)
self._collision_matrix = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_grid_points, num_band, 3,
num_ir_grid_points, num_band, 3),
dtype='double')
def _allocate_values(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_grid_points = len(self._grid_points)
num_ir_grid_points = len(self._ir_grid_points)
self._kappa = np.zeros((len(self._sigmas), len(self._temperatures), 6),
dtype='double')
self._gv = np.zeros((num_grid_points, num_band, 3), dtype='double')
self._averaged_pp_interaction = np.zeros((num_grid_points, num_band),
dtype='double')
self._gamma = np.zeros((len(self._sigmas), len(
self._temperatures), num_grid_points, num_band),
dtype='double')
if self._isotope is not None:
self._gamma_iso = np.zeros(
(len(self._sigmas), num_grid_points, num_band), dtype='double')
if self._is_reducible_collision_matrix:
num_mesh_points = np.prod(self._mesh)
self._mode_kappa = np.zeros(
(len(self._sigmas), len(
self._temperatures), num_mesh_points, num_band, 6),
dtype='double')
self._collision = CollisionMatrix(
self._pp, is_reducible_collision_matrix=True)
self._collision_matrix = np.zeros(
(len(self._sigmas), len(self._temperatures), num_grid_points,
num_band, num_mesh_points, num_band),
dtype='double')
else:
self._mode_kappa = np.zeros(
(len(self._sigmas), len(
self._temperatures), num_grid_points, num_band, 6),
dtype='double')
self._rot_grid_points = np.zeros(
(len(self._ir_grid_points), len(self._point_operations)),
dtype='intc')
self._rot_BZ_grid_points = np.zeros(
(len(self._ir_grid_points), len(self._point_operations)),
dtype='intc')
for i, ir_gp in enumerate(self._ir_grid_points):
self._rot_grid_points[i] = get_grid_points_by_rotations(
self._grid_address[ir_gp], self._point_operations,
self._mesh)
self._rot_BZ_grid_points[i] = get_BZ_grid_points_by_rotations(
self._grid_address[ir_gp], self._point_operations,
self._mesh, self._pp.get_bz_map())
self._collision = CollisionMatrix(
self._pp,
point_operations=self._point_operations,
ir_grid_points=self._ir_grid_points,
rotated_grid_points=self._rot_BZ_grid_points)
self._collision_matrix = np.zeros(
(len(self._sigmas), len(self._temperatures), num_grid_points,
num_band, 3, num_ir_grid_points, num_band, 3),
dtype='double')
class Conductivity_LBTE(Conductivity):
def __init__(self,
interaction,
symmetry,
grid_points=None,
temperatures=None,
sigmas=None,
is_isotope=False,
mass_variances=None,
boundary_mfp=None, # in micrometre
is_reducible_collision_matrix=False,
no_kappa_stars=False,
gv_delta_q=None, # finite difference for group veolocity
pinv_cutoff=1.0e-8,
log_level=0):
if sigmas is None:
sigmas = []
self._pp = None
self._temperatures = None
self._sigmas = None
self._no_kappa_stars = None
self._gv_delta_q = None
self._log_level = None
self._primitive = None
self._dm = None
self._frequency_factor_to_THz = None
self._cutoff_frequency = None
self._boundary_mfp = None
self._symmetry = None
self._point_operations = None
self._rotations_cartesian = None
self._grid_points = None
self._grid_weights = None
self._grid_address = None
self._ir_grid_points = None
self._ir_grid_weights = None
self._gamma = None
self._read_gamma = False
self._read_gamma_iso = False
self._frequencies = None
self._gv = None
self._gamma_iso = None
self._averaged_pp_interaction = None
self._mesh = None
self._coarse_mesh = None
self._coarse_mesh_shifts = None
self._conversion_factor = None
self._is_isotope = None
self._isotope = None
self._mass_variances = None
self._grid_point_count = None
self._collision_eigenvalues = None
Conductivity.__init__(self,
interaction,
symmetry,
grid_points=grid_points,
temperatures=temperatures,
sigmas=sigmas,
is_isotope=is_isotope,
mass_variances=mass_variances,
boundary_mfp=boundary_mfp,
no_kappa_stars=no_kappa_stars,
gv_delta_q=gv_delta_q,
log_level=log_level)
self._is_reducible_collision_matrix = is_reducible_collision_matrix
if self._no_kappa_stars:
self._is_reducible_collision_matrix = True
self._collision_matrix = None
self._pinv_cutoff = pinv_cutoff
if self._temperatures is not None:
self._allocate_values()
def set_kappa_at_sigmas(self):
if len(self._grid_points) != len(self._ir_grid_points):
print("Collision matrix is not well created.")
import sys
sys.exit(1)
else:
self._set_kappa_at_sigmas()
def set_collision_matrix(self, collision_matrix):
self._collision_matrix = collision_matrix
def get_collision_matrix(self):
return self._collision_matrix
def get_collision_eigenvalues(self):
return self._collision_eigenvalues
def get_averaged_pp_interaction(self):
return self._averaged_pp_interaction
def _run_at_grid_point(self):
i = self._grid_point_count
self._show_log_header(i)
grid_point = self._grid_points[i]
if not self._read_gamma:
self._collision.set_grid_point(grid_point)
if self._log_level:
print("Number of triplets: %s" %
len(self._pp.get_triplets_at_q()[0]))
print("Calculating interaction...")
self._collision.run_interaction()
self._set_collision_matrix_at_sigmas(i)
self._averaged_pp_interaction[i] = (
self._pp.get_averaged_interaction())
if self._isotope is not None:
self._set_gamma_isotope_at_sigmas(i)
self._set_gv(i)
if self._log_level:
self._show_log(i)
def _allocate_values(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_grid_points = len(self._grid_points)
num_ir_grid_points = len(self._ir_grid_points)
self._kappa = np.zeros((len(self._sigmas),
len(self._temperatures),
6), dtype='double')
self._gv = np.zeros((num_grid_points,
num_band,
3), dtype='double')
self._averaged_pp_interaction = np.zeros((num_grid_points, num_band),
dtype='double')
self._gamma = np.zeros((len(self._sigmas),
len(self._temperatures),
num_grid_points,
num_band), dtype='double')
if self._isotope is not None:
self._gamma_iso = np.zeros((len(self._sigmas),
num_grid_points,
num_band), dtype='double')
if self._is_reducible_collision_matrix:
num_mesh_points = np.prod(self._mesh)
self._mode_kappa = np.zeros((len(self._sigmas),
len(self._temperatures),
num_mesh_points,
num_band,
6), dtype='double')
self._collision = CollisionMatrix(
self._pp,
is_reducible_collision_matrix=True)
self._collision_matrix = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_grid_points, num_band, num_mesh_points, num_band),
dtype='double')
else:
self._mode_kappa = np.zeros((len(self._sigmas),
len(self._temperatures),
num_grid_points,
num_band,
6), dtype='double')
self._rot_grid_points = np.zeros(
(len(self._ir_grid_points), len(self._point_operations)),
dtype='intc')
self._rot_BZ_grid_points = np.zeros(
(len(self._ir_grid_points), len(self._point_operations)),
dtype='intc')
for i, ir_gp in enumerate(self._ir_grid_points):
self._rot_grid_points[i] = get_grid_points_by_rotations(
self._grid_address[ir_gp],
self._point_operations,
self._mesh)
self._rot_BZ_grid_points[i] = get_BZ_grid_points_by_rotations(
self._grid_address[ir_gp],
self._point_operations,
self._mesh,
self._pp.get_bz_map())
self._collision = CollisionMatrix(
self._pp,
point_operations=self._point_operations,
ir_grid_points=self._ir_grid_points,
rotated_grid_points=self._rot_BZ_grid_points)
self._collision_matrix = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_grid_points, num_band, 3,
num_ir_grid_points, num_band, 3),
dtype='double')
self._collision_eigenvalues = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_ir_grid_points * num_band * 3),
dtype='double')
def _set_collision_matrix_at_sigmas(self, i):
for j, sigma in enumerate(self._sigmas):
if self._log_level:
text = "Calculating collision matrix with "
if sigma is None:
text += "tetrahedron method"
else:
text += "sigma=%s" % sigma
print(text)
self._collision.set_sigma(sigma)
self._collision.set_integration_weights()
for k, t in enumerate(self._temperatures):
self._collision.set_temperature(t)
self._collision.run()
self._gamma[j, k, i] = self._collision.get_imag_self_energy()
self._collision_matrix[j, k, i] = (
self._collision.get_collision_matrix())
def _set_kappa_at_sigmas(self):
if self._log_level:
print("Symmetrizing collision matrix...")
sys.stdout.flush()
if self._is_reducible_collision_matrix:
if not self._no_kappa_stars:
self._expand_collisions()
self._combine_reducible_collisions()
weights = np.ones(np.prod(self._mesh), dtype='intc')
self._symmetrize_reducible_collision_matrix()
else:
self._combine_collisions()
weights = self._get_weights()
for i, w_i in enumerate(weights):
for j, w_j in enumerate(weights):
self._collision_matrix[:, :, i, :, :, j, :, :] *= w_i * w_j
self._symmetrize_collision_matrix()
for j, sigma in enumerate(self._sigmas):
if self._log_level:
text = "----------- Thermal conductivity (W/m-k) "
if sigma:
text += "for sigma=%s -----------" % sigma
else:
text += "with tetrahedron method -----------"
print text
print(("#%6s " + " %-10s" * 6) %
("T(K)", "xx", "yy", "zz", "yz", "xz", "xy"))
for k, t in enumerate(self._temperatures):
if t > 0:
if self._is_reducible_collision_matrix:
self._set_inv_reducible_collision_matrix(j, k)
else:
self._set_inv_collision_matrix(j, k)
X = self._get_X(t, weights)
self._set_kappa(j, k, X)
if self._log_level:
print(("%7.1f " + " %10.3f" * 6) %
((t,) + tuple(self._kappa[j, k])))
if self._log_level:
print('')
def _combine_collisions(self):
num_band = self._primitive.get_number_of_atoms() * 3
for j, k in list(np.ndindex((len(self._sigmas),
len(self._temperatures)))):
for i, ir_gp in enumerate(self._ir_grid_points):
multi = ((self._rot_grid_points == ir_gp).sum() //
(self._rot_BZ_grid_points == ir_gp).sum())
for r, r_BZ_gp in zip(self._rotations_cartesian,
self._rot_BZ_grid_points[i]):
if ir_gp != r_BZ_gp:
continue
main_diagonal = self._get_main_diagonal(i, j, k)
main_diagonal *= multi
for l in range(num_band):
self._collision_matrix[
j, k, i, l, :, i, l, :] += main_diagonal[l] * r
def _combine_reducible_collisions(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_mesh_points = np.prod(self._mesh)
for j, k in list(
np.ndindex((len(self._sigmas), len(self._temperatures)))):
for i in range(num_mesh_points):
main_diagonal = self._get_main_diagonal(i, j, k)
for l in range(num_band):
self._collision_matrix[
j, k, i, l, i, l] += main_diagonal[l]
def _expand_collisions(self):
num_mesh_points = np.prod(self._mesh)
num_rot = len(self._point_operations)
num_band = self._primitive.get_number_of_atoms() * 3
rot_grid_points = np.zeros(
(num_rot, num_mesh_points), dtype='intc')
collision_matrix = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_mesh_points, num_band, num_mesh_points, num_band),
dtype='double')
gamma = np.zeros((len(self._sigmas),
len(self._temperatures),
num_mesh_points,
num_band), dtype='double')
gv = np.zeros((num_mesh_points,
num_band,
3), dtype='double')
if self._gamma_iso is not None:
gamma_iso = np.zeros((len(self._sigmas),
num_mesh_points,
num_band), dtype='double')
for i in range(num_mesh_points):
rot_grid_points[:, i] = get_grid_points_by_rotations(
self._grid_address[i],
self._point_operations,
self._mesh)
for i, ir_gp in enumerate(self._ir_grid_points):
multi = (rot_grid_points[:, ir_gp] == ir_gp).sum()
g_elem = self._gamma[:, :, i, :] / multi
if self._gamma_iso is not None:
giso_elem = self._gamma_iso[:, i, :] / multi
for j, r in enumerate(self._rotations_cartesian):
gp_r = rot_grid_points[j, ir_gp]
gamma[:, :, gp_r, :] += g_elem
if self._gamma_iso is not None:
gamma_iso[:, gp_r, :] += giso_elem
for k in range(num_mesh_points):
colmat_elem = self._collision_matrix[:, :, i, :, k, :]
colmat_elem = colmat_elem.copy() / multi
gp_c = rot_grid_points[j, k]
collision_matrix[:, :, gp_r, :, gp_c, :] += colmat_elem
gv[gp_r] += np.dot(self._gv[i], r.T) / multi
self._gamma = gamma
self._collision_matrix = collision_matrix
if self._gamma_iso is not None:
self._gamma_iso = gamma_iso
self._gv = gv
def _get_weights(self):
weights = []
for r_gps in self._rot_grid_points:
weights.append(np.sqrt(len(np.unique(r_gps))) / np.sqrt(len(r_gps)))
return weights
def _symmetrize_collision_matrix(self):
import anharmonic._phono3py as phono3c
phono3c.symmetrize_collision_matrix(self._collision_matrix)
# Average matrix elements belonging to degenerate bands
col_mat = self._collision_matrix
for i, gp in enumerate(self._ir_grid_points):
freqs = self._frequencies[gp]
deg_sets = degenerate_sets(freqs)
for dset in deg_sets:
bi_set = []
for j in range(len(freqs)):
if j in dset:
bi_set.append(j)
sum_col = (col_mat[:, :, i, bi_set, :, :, :, :].sum(axis=2) /
len(bi_set))
for j in bi_set:
col_mat[:, :, i, j, :, :, :, :] = sum_col
for i, gp in enumerate(self._ir_grid_points):
freqs = self._frequencies[gp]
deg_sets = degenerate_sets(freqs)
for dset in deg_sets:
bi_set = []
for j in range(len(freqs)):
if j in dset:
bi_set.append(j)
sum_col = (col_mat[:, :, :, :, :, i, bi_set, :].sum(axis=5) /
len(bi_set))
for j in bi_set:
col_mat[:, :, :, :, :, i, j, :] = sum_col
def _symmetrize_reducible_collision_matrix(self):
import anharmonic._phono3py as phono3c
phono3c.symmetrize_collision_matrix(self._collision_matrix)
# Average matrix elements belonging to degenerate bands
col_mat = self._collision_matrix
for i, gp in enumerate(self._ir_grid_points):
freqs = self._frequencies[gp]
deg_sets = degenerate_sets(freqs)
for dset in deg_sets:
bi_set = []
for j in range(len(freqs)):
if j in dset:
bi_set.append(j)
sum_col = (col_mat[:, :, i, bi_set, :, :].sum(axis=2) /
len(bi_set))
for j in bi_set:
col_mat[:, :, i, j, :, :] = sum_col
for i, gp in enumerate(self._ir_grid_points):
freqs = self._frequencies[gp]
deg_sets = degenerate_sets(freqs)
for dset in deg_sets:
bi_set = []
for j in range(len(freqs)):
if j in dset:
bi_set.append(j)
sum_col = (col_mat[:, :, :, :, i, bi_set].sum(axis=4) /
len(bi_set))
for j in bi_set:
col_mat[:, :, :, :, i, j] = sum_col
def _get_X(self, t, weights):
num_band = self._primitive.get_number_of_atoms() * 3
X = self._gv.copy()
if self._is_reducible_collision_matrix:
num_mesh_points = np.prod(self._mesh)
freqs = self._frequencies[:num_mesh_points]
else:
freqs = self._frequencies[self._ir_grid_points]
sinh = np.where(freqs > self._cutoff_frequency,
np.sinh(freqs * THzToEv / (2 * Kb * t)),
-1.0)
inv_sinh = np.where(sinh > 0, 1.0 / sinh, 0)
freqs_sinh = freqs * THzToEv * inv_sinh / (4 * Kb * t ** 2)
for i, f in enumerate(freqs_sinh):
X[i] *= weights[i]
for j in range(num_band):
X[i, j] *= f[j]
if t > 0:
return X.reshape(-1, 3)
else:
return np.zeros_like(X.reshape(-1, 3))
def _set_inv_collision_matrix(self,
i_sigma,
i_temp,
method=0):
num_ir_grid_points = len(self._ir_grid_points)
num_band = self._primitive.get_number_of_atoms() * 3
if method == 0:
col_mat = self._collision_matrix[i_sigma, i_temp].reshape(
num_ir_grid_points * num_band * 3,
num_ir_grid_points * num_band * 3)
w, col_mat[:] = np.linalg.eigh(col_mat)
e = np.zeros_like(w)
v = col_mat
for l, val in enumerate(w):
if val > self._pinv_cutoff:
e[l] = 1 / np.sqrt(val)
v[:] = e * v
v[:] = np.dot(v, v.T) # inv_col
elif method == 1:
import anharmonic._phono3py as phono3c
w = np.zeros(num_ir_grid_points * num_band * 3, dtype='double')
phono3c.inverse_collision_matrix(
self._collision_matrix, w, i_sigma, i_temp, self._pinv_cutoff)
elif method == 2:
import anharmonic._phono3py as phono3c
w = np.zeros(num_ir_grid_points * num_band * 3, dtype='double')
phono3c.inverse_collision_matrix_libflame(
self._collision_matrix, w, i_sigma, i_temp, self._pinv_cutoff)
self._collision_eigenvalues[i_sigma, i_temp] = w
def _set_inv_reducible_collision_matrix(self, i_sigma, i_temp):
t = self._temperatures[i_temp]
num_mesh_points = np.prod(self._mesh)
num_band = self._primitive.get_number_of_atoms() * 3
col_mat = self._collision_matrix[i_sigma, i_temp].reshape(
num_mesh_points * num_band, num_mesh_points * num_band)
w, col_mat[:] = np.linalg.eigh(col_mat)
v = col_mat
e = np.zeros(len(w), dtype='double')
for l, val in enumerate(w):
if val > self._pinv_cutoff:
e[l] = 1 / np.sqrt(val)
v[:] = e * v
v[:] = np.dot(v, v.T) # inv_col
def _set_kappa(self, i_sigma, i_temp, X):
num_band = self._primitive.get_number_of_atoms() * 3
if self._is_reducible_collision_matrix:
num_mesh_points = np.prod(self._mesh)
num_grid_points = num_mesh_points
from phonopy.harmonic.force_constants import similarity_transformation
point_operations = self._symmetry.get_reciprocal_operations()
rec_lat = np.linalg.inv(self._primitive.get_cell())
rotations_cartesian = np.array(
[similarity_transformation(rec_lat, r)
for r in point_operations], dtype='double')
inv_col_mat = np.kron(
self._collision_matrix[i_sigma, i_temp].reshape(
num_mesh_points * num_band,
num_mesh_points * num_band), np.eye(3))
else:
num_ir_grid_points = len(self._ir_grid_points)
num_grid_points = num_ir_grid_points
rotations_cartesian = self._rotations_cartesian
inv_col_mat = self._collision_matrix[i_sigma, i_temp].reshape(
num_ir_grid_points * num_band * 3,
num_ir_grid_points * num_band * 3)
Y = np.dot(inv_col_mat, X.ravel()).reshape(-1, 3)
for i, (v_gp, f_gp) in enumerate(zip(X.reshape(num_grid_points,
num_band, 3),
Y.reshape(num_grid_points,
num_band, 3))):
for j, (v, f) in enumerate(zip(v_gp, f_gp)):
sum_k = np.zeros((3, 3), dtype='double')
for r in rotations_cartesian:
sum_k += np.outer(np.dot(r, v), np.dot(r, f))
sum_k = sum_k + sum_k.T
for k, vxf in enumerate(
((0, 0), (1, 1), (2, 2), (1, 2), (0, 2), (0, 1))):
self._mode_kappa[i_sigma, i_temp, i, j, k] = sum_k[vxf]
t = self._temperatures[i_temp]
self._mode_kappa *= (self._conversion_factor * Kb * t ** 2
/ np.prod(self._mesh))
if self._is_reducible_collision_matrix:
self._mode_kappa /= len(point_operations)
self._kappa[i_sigma, i_temp] = (
self._mode_kappa[i_sigma, i_temp].sum(axis=0).sum(axis=0))
def _show_log(self, i):
q = self._qpoints[i]
gp = self._grid_points[i]
frequencies = self._frequencies[gp]
gv = self._gv[i]
ave_pp = self._averaged_pp_interaction[i]
text = "Frequency group velocity (x, y, z) |gv| Pqj"
if self._gv_delta_q is None:
pass
else:
text += " (dq=%3.1e)" % self._gv_delta_q
print text
for f, v, pp in zip(frequencies, gv, ave_pp):
print("%8.3f (%8.3f %8.3f %8.3f) %8.3f %11.3e" %
(f, v[0], v[1], v[2], np.linalg.norm(v), pp))
sys.stdout.flush()
def _py_symmetrize_collision_matrix(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_ir_grid_points = len(self._ir_grid_points)
for i in range(num_ir_grid_points):
for j in range(num_band):
for k in range(3):
for l in range(num_ir_grid_points):
for m in range(num_band):
for n in range(3):
self._py_set_symmetrized_element(
i, j, k, l, m, n)
def _py_set_symmetrized_element(self, i, j, k, l, m, n):
sym_val = (self._collision_matrix[:, :, i, j, k, l, m, n] +
self._collision_matrix[:, :, l, m, n, i, j, k]) / 2
self._collision_matrix[:, :, i, j, k, l, m, n] = sym_val
self._collision_matrix[:, :, l, m, n, i, j, k] = sym_val
def _py_symmetrize_collision_matrix_no_kappa_stars(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_ir_grid_points = len(self._ir_grid_points)
for i in range(num_ir_grid_points):
for j in range(num_band):
for k in range(num_ir_grid_points):
for l in range(num_band):
self._py_set_symmetrized_element_no_kappa_stars(
i, j, k, l)
def _py_set_symmetrized_element_no_kappa_stars(self, i, j, k, l):
sym_val = (self._collision_matrix[:, :, i, j, k, l] +
self._collision_matrix[:, :, k, l, i, j]) / 2
self._collision_matrix[:, :, i, j, k, l] = sym_val
self._collision_matrix[:, :, k, l, i, j] = sym_val
class Conductivity_LBTE(Conductivity):
def __init__(self,
interaction,
symmetry,
grid_points=None,
temperatures=None,
sigmas=None,
is_isotope=False,
mass_variances=None,
boundary_mfp=None, # in micrometre
is_reducible_collision_matrix=False,
is_kappa_star=True,
gv_delta_q=None, # finite difference for group veolocity
is_full_pp=False,
pinv_cutoff=1.0e-8,
log_level=0):
if sigmas is None:
sigmas = []
self._pp = None
self._temperatures = None
self._sigmas = None
self._is_kappa_star = None
self._gv_delta_q = None
self._is_full_pp = is_full_pp
self._log_level = None
self._primitive = None
self._dm = None
self._frequency_factor_to_THz = None
self._cutoff_frequency = None
self._boundary_mfp = None
self._symmetry = None
self._point_operations = None
self._rotations_cartesian = None
self._grid_points = None
self._grid_weights = None
self._grid_address = None
self._ir_grid_points = None
self._ir_grid_weights = None
self._gamma = None
self._read_gamma = False
self._read_gamma_iso = False
self._frequencies = None
self._gv = None
self._gamma_iso = None
self._averaged_pp_interaction = None
self._mesh = None
self._coarse_mesh = None
self._coarse_mesh_shifts = None
self._conversion_factor = None
self._is_isotope = None
self._isotope = None
self._mass_variances = None
self._grid_point_count = None
self._collision_eigenvalues = None
Conductivity.__init__(self,
interaction,
symmetry,
grid_points=grid_points,
temperatures=temperatures,
sigmas=sigmas,
is_isotope=is_isotope,
mass_variances=mass_variances,
boundary_mfp=boundary_mfp,
is_kappa_star=is_kappa_star,
gv_delta_q=gv_delta_q,
log_level=log_level)
self._is_reducible_collision_matrix = is_reducible_collision_matrix
if not self._is_kappa_star:
self._is_reducible_collision_matrix = True
self._collision_matrix = None
self._pinv_cutoff = pinv_cutoff
if self._temperatures is not None:
self._allocate_values()
def set_kappa_at_sigmas(self):
if len(self._grid_points) != len(self._ir_grid_points):
print("Collision matrix is not well created.")
import sys
sys.exit(1)
else:
self._set_kappa_at_sigmas()
def set_collision_matrix(self, collision_matrix):
self._collision_matrix = collision_matrix
def get_collision_matrix(self):
return self._collision_matrix
def get_collision_eigenvalues(self):
return self._collision_eigenvalues
def get_averaged_pp_interaction(self):
return self._averaged_pp_interaction
def _run_at_grid_point(self):
i = self._grid_point_count
self._show_log_header(i)
grid_point = self._grid_points[i]
if not self._read_gamma:
self._collision.set_grid_point(grid_point)
if self._log_level:
print("Number of triplets: %s" %
len(self._pp.get_triplets_at_q()[0]))
print("Calculating interaction...")
self._set_collision_matrix_at_sigmas(i)
if self._isotope is not None:
self._set_gamma_isotope_at_sigmas(i)
self._set_gv(i)
if self._log_level:
self._show_log(i)
def _allocate_values(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_grid_points = len(self._grid_points)
num_ir_grid_points = len(self._ir_grid_points)
self._kappa = np.zeros((len(self._sigmas),
len(self._temperatures),
6), dtype='double')
self._gv = np.zeros((num_grid_points,
num_band,
3), dtype='double')
if self._is_full_pp:
self._averaged_pp_interaction = np.zeros(
(num_grid_points, num_band), dtype='double')
self._gamma = np.zeros((len(self._sigmas),
len(self._temperatures),
num_grid_points,
num_band), dtype='double')
if self._isotope is not None:
self._gamma_iso = np.zeros((len(self._sigmas),
num_grid_points,
num_band), dtype='double')
if self._is_reducible_collision_matrix:
num_mesh_points = np.prod(self._mesh)
self._mode_kappa = np.zeros((len(self._sigmas),
len(self._temperatures),
num_mesh_points,
num_band,
6), dtype='double')
self._collision = CollisionMatrix(
self._pp,
is_reducible_collision_matrix=True)
self._collision_matrix = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_grid_points, num_band, num_mesh_points, num_band),
dtype='double')
else:
self._mode_kappa = np.zeros((len(self._sigmas),
len(self._temperatures),
num_grid_points,
num_band,
6), dtype='double')
self._rot_grid_points = np.zeros(
(len(self._ir_grid_points), len(self._point_operations)),
dtype='intc')
self._rot_BZ_grid_points = np.zeros(
(len(self._ir_grid_points), len(self._point_operations)),
dtype='intc')
for i, ir_gp in enumerate(self._ir_grid_points):
self._rot_grid_points[i] = get_grid_points_by_rotations(
self._grid_address[ir_gp],
self._point_operations,
self._mesh)
self._rot_BZ_grid_points[i] = get_BZ_grid_points_by_rotations(
self._grid_address[ir_gp],
self._point_operations,
self._mesh,
self._pp.get_bz_map())
self._collision = CollisionMatrix(
self._pp,
point_operations=self._point_operations,
ir_grid_points=self._ir_grid_points,
rotated_grid_points=self._rot_BZ_grid_points)
self._collision_matrix = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_grid_points, num_band, 3,
num_ir_grid_points, num_band, 3),
dtype='double')
self._collision_eigenvalues = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_ir_grid_points * num_band * 3),
dtype='double')
def _set_collision_matrix_at_sigmas(self, i):
for j, sigma in enumerate(self._sigmas):
if self._log_level:
text = "Calculating collision matrix with "
if sigma is None:
text += "tetrahedron method"
else:
text += "sigma=%s" % sigma
print(text)
self._collision.set_sigma(sigma)
self._collision.set_integration_weights()
if self._is_full_pp and j != 0:
pass
else:
self._collision.run_interaction(is_full_pp=self._is_full_pp)
if self._is_full_pp and j == 0:
self._averaged_pp_interaction[i] = (
self._pp.get_averaged_interaction())
for k, t in enumerate(self._temperatures):
self._collision.set_temperature(t)
self._collision.run()
self._gamma[j, k, i] = self._collision.get_imag_self_energy()
self._collision_matrix[j, k, i] = (
self._collision.get_collision_matrix())
def _set_kappa_at_sigmas(self):
if self._log_level:
print("Symmetrizing collision matrix...")
sys.stdout.flush()
if self._is_reducible_collision_matrix:
if self._is_kappa_star:
self._expand_collisions()
self._combine_reducible_collisions()
weights = np.ones(np.prod(self._mesh), dtype='intc')
self._symmetrize_reducible_collision_matrix()
else:
self._combine_collisions()
weights = self._get_weights()
for i, w_i in enumerate(weights):
for j, w_j in enumerate(weights):
self._collision_matrix[:, :, i, :, :, j, :, :] *= w_i * w_j
self._symmetrize_collision_matrix()
for j, sigma in enumerate(self._sigmas):
if self._log_level:
text = "----------- Thermal conductivity (W/m-k) "
if sigma:
text += "for sigma=%s -----------" % sigma
else:
text += "with tetrahedron method -----------"
print(text)
print(("#%6s " + " %-10s" * 6) %
("T(K)", "xx", "yy", "zz", "yz", "xz", "xy"))
for k, t in enumerate(self._temperatures):
if t > 0:
if self._is_reducible_collision_matrix:
self._set_inv_reducible_collision_matrix(j, k)
else:
self._set_inv_collision_matrix(j, k)
X = self._get_X(t, weights)
self._set_kappa(j, k, X)
if self._log_level:
print(("%7.1f " + " %10.3f" * 6) %
((t,) + tuple(self._kappa[j, k])))
if self._log_level:
print('')
def _combine_collisions(self):
num_band = self._primitive.get_number_of_atoms() * 3
for j, k in list(np.ndindex((len(self._sigmas),
len(self._temperatures)))):
for i, ir_gp in enumerate(self._ir_grid_points):
multi = ((self._rot_grid_points == ir_gp).sum() //
(self._rot_BZ_grid_points == ir_gp).sum())
for r, r_BZ_gp in zip(self._rotations_cartesian,
self._rot_BZ_grid_points[i]):
if ir_gp != r_BZ_gp:
continue
main_diagonal = self._get_main_diagonal(i, j, k)
main_diagonal *= multi
for l in range(num_band):
self._collision_matrix[
j, k, i, l, :, i, l, :] += main_diagonal[l] * r
def _combine_reducible_collisions(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_mesh_points = np.prod(self._mesh)
for j, k in list(
np.ndindex((len(self._sigmas), len(self._temperatures)))):
for i in range(num_mesh_points):
main_diagonal = self._get_main_diagonal(i, j, k)
for l in range(num_band):
self._collision_matrix[
j, k, i, l, i, l] += main_diagonal[l]
def _expand_collisions(self):
num_mesh_points = np.prod(self._mesh)
num_rot = len(self._point_operations)
num_band = self._primitive.get_number_of_atoms() * 3
rot_grid_points = np.zeros(
(num_rot, num_mesh_points), dtype='intc')
collision_matrix = np.zeros(
(len(self._sigmas),
len(self._temperatures),
num_mesh_points, num_band, num_mesh_points, num_band),
dtype='double')
gamma = np.zeros((len(self._sigmas),
len(self._temperatures),
num_mesh_points,
num_band), dtype='double')
gv = np.zeros((num_mesh_points,
num_band,
3), dtype='double')
if self._gamma_iso is not None:
gamma_iso = np.zeros((len(self._sigmas),
num_mesh_points,
num_band), dtype='double')
for i in range(num_mesh_points):
rot_grid_points[:, i] = get_grid_points_by_rotations(
self._grid_address[i],
self._point_operations,
self._mesh)
for i, ir_gp in enumerate(self._ir_grid_points):
multi = (rot_grid_points[:, ir_gp] == ir_gp).sum()
g_elem = self._gamma[:, :, i, :] / multi
if self._gamma_iso is not None:
giso_elem = self._gamma_iso[:, i, :] / multi
for j, r in enumerate(self._rotations_cartesian):
gp_r = rot_grid_points[j, ir_gp]
gamma[:, :, gp_r, :] += g_elem
if self._gamma_iso is not None:
gamma_iso[:, gp_r, :] += giso_elem
for k in range(num_mesh_points):
colmat_elem = self._collision_matrix[:, :, i, :, k, :]
colmat_elem = colmat_elem.copy() / multi
gp_c = rot_grid_points[j, k]
collision_matrix[:, :, gp_r, :, gp_c, :] += colmat_elem
gv[gp_r] += np.dot(self._gv[i], r.T) / multi
self._gamma = gamma
self._collision_matrix = collision_matrix
if self._gamma_iso is not None:
self._gamma_iso = gamma_iso
self._gv = gv
def _get_weights(self):
weights = []
for r_gps in self._rot_grid_points:
weights.append(np.sqrt(len(np.unique(r_gps))) / np.sqrt(len(r_gps)))
return weights
def _symmetrize_collision_matrix(self):
import anharmonic._phono3py as phono3c
phono3c.symmetrize_collision_matrix(self._collision_matrix)
# Average matrix elements belonging to degenerate bands
col_mat = self._collision_matrix
for i, gp in enumerate(self._ir_grid_points):
freqs = self._frequencies[gp]
deg_sets = degenerate_sets(freqs)
for dset in deg_sets:
bi_set = []
for j in range(len(freqs)):
if j in dset:
bi_set.append(j)
sum_col = (col_mat[:, :, i, bi_set, :, :, :, :].sum(axis=2) /
len(bi_set))
for j in bi_set:
col_mat[:, :, i, j, :, :, :, :] = sum_col
for i, gp in enumerate(self._ir_grid_points):
freqs = self._frequencies[gp]
deg_sets = degenerate_sets(freqs)
for dset in deg_sets:
bi_set = []
for j in range(len(freqs)):
if j in dset:
bi_set.append(j)
sum_col = (col_mat[:, :, :, :, :, i, bi_set, :].sum(axis=5) /
len(bi_set))
for j in bi_set:
col_mat[:, :, :, :, :, i, j, :] = sum_col
def _symmetrize_reducible_collision_matrix(self):
import anharmonic._phono3py as phono3c
phono3c.symmetrize_collision_matrix(self._collision_matrix)
# Average matrix elements belonging to degenerate bands
col_mat = self._collision_matrix
for i, gp in enumerate(self._ir_grid_points):
freqs = self._frequencies[gp]
deg_sets = degenerate_sets(freqs)
for dset in deg_sets:
bi_set = []
for j in range(len(freqs)):
if j in dset:
bi_set.append(j)
sum_col = (col_mat[:, :, i, bi_set, :, :].sum(axis=2) /
len(bi_set))
for j in bi_set:
col_mat[:, :, i, j, :, :] = sum_col
for i, gp in enumerate(self._ir_grid_points):
freqs = self._frequencies[gp]
deg_sets = degenerate_sets(freqs)
for dset in deg_sets:
bi_set = []
for j in range(len(freqs)):
if j in dset:
bi_set.append(j)
sum_col = (col_mat[:, :, :, :, i, bi_set].sum(axis=4) /
len(bi_set))
for j in bi_set:
col_mat[:, :, :, :, i, j] = sum_col
def _get_X(self, t, weights):
num_band = self._primitive.get_number_of_atoms() * 3
X = self._gv.copy()
if self._is_reducible_collision_matrix:
num_mesh_points = np.prod(self._mesh)
freqs = self._frequencies[:num_mesh_points]
else:
freqs = self._frequencies[self._ir_grid_points]
sinh = np.where(freqs > self._cutoff_frequency,
np.sinh(freqs * THzToEv / (2 * Kb * t)),
-1.0)
inv_sinh = np.where(sinh > 0, 1.0 / sinh, 0)
freqs_sinh = freqs * THzToEv * inv_sinh / (4 * Kb * t ** 2)
for i, f in enumerate(freqs_sinh):
X[i] *= weights[i]
for j in range(num_band):
X[i, j] *= f[j]
if t > 0:
return X.reshape(-1, 3)
else:
return np.zeros_like(X.reshape(-1, 3))
def _set_inv_collision_matrix(self,
i_sigma,
i_temp,
method=0):
num_ir_grid_points = len(self._ir_grid_points)
num_band = self._primitive.get_number_of_atoms() * 3
if method == 0:
col_mat = self._collision_matrix[i_sigma, i_temp].reshape(
num_ir_grid_points * num_band * 3,
num_ir_grid_points * num_band * 3)
w, col_mat[:] = np.linalg.eigh(col_mat)
e = np.zeros_like(w)
v = col_mat
for l, val in enumerate(w):
if val > self._pinv_cutoff:
e[l] = 1 / np.sqrt(val)
v[:] = e * v
v[:] = np.dot(v, v.T) # inv_col
elif method == 1:
import anharmonic._phono3py as phono3c
w = np.zeros(num_ir_grid_points * num_band * 3, dtype='double')
phono3c.inverse_collision_matrix(
self._collision_matrix, w, i_sigma, i_temp, self._pinv_cutoff)
elif method == 2:
import anharmonic._phono3py as phono3c
w = np.zeros(num_ir_grid_points * num_band * 3, dtype='double')
phono3c.inverse_collision_matrix_libflame(
self._collision_matrix, w, i_sigma, i_temp, self._pinv_cutoff)
self._collision_eigenvalues[i_sigma, i_temp] = w
def _set_inv_reducible_collision_matrix(self, i_sigma, i_temp):
t = self._temperatures[i_temp]
num_mesh_points = np.prod(self._mesh)
num_band = self._primitive.get_number_of_atoms() * 3
col_mat = self._collision_matrix[i_sigma, i_temp].reshape(
num_mesh_points * num_band, num_mesh_points * num_band)
w, col_mat[:] = np.linalg.eigh(col_mat)
v = col_mat
e = np.zeros(len(w), dtype='double')
for l, val in enumerate(w):
if val > self._pinv_cutoff:
e[l] = 1 / np.sqrt(val)
v[:] = e * v
v[:] = np.dot(v, v.T) # inv_col
def _set_kappa(self, i_sigma, i_temp, X):
num_band = self._primitive.get_number_of_atoms() * 3
if self._is_reducible_collision_matrix:
num_mesh_points = np.prod(self._mesh)
num_grid_points = num_mesh_points
from phonopy.harmonic.force_constants import similarity_transformation
point_operations = self._symmetry.get_reciprocal_operations()
rec_lat = np.linalg.inv(self._primitive.get_cell())
rotations_cartesian = np.array(
[similarity_transformation(rec_lat, r)
for r in point_operations], dtype='double')
inv_col_mat = np.kron(
self._collision_matrix[i_sigma, i_temp].reshape(
num_mesh_points * num_band,
num_mesh_points * num_band), np.eye(3))
else:
num_ir_grid_points = len(self._ir_grid_points)
num_grid_points = num_ir_grid_points
rotations_cartesian = self._rotations_cartesian
inv_col_mat = self._collision_matrix[i_sigma, i_temp].reshape(
num_ir_grid_points * num_band * 3,
num_ir_grid_points * num_band * 3)
Y = np.dot(inv_col_mat, X.ravel()).reshape(-1, 3)
for i, (v_gp, f_gp) in enumerate(zip(X.reshape(num_grid_points,
num_band, 3),
Y.reshape(num_grid_points,
num_band, 3))):
for j, (v, f) in enumerate(zip(v_gp, f_gp)):
sum_k = np.zeros((3, 3), dtype='double')
for r in rotations_cartesian:
sum_k += np.outer(np.dot(r, v), np.dot(r, f))
sum_k = sum_k + sum_k.T
for k, vxf in enumerate(
((0, 0), (1, 1), (2, 2), (1, 2), (0, 2), (0, 1))):
self._mode_kappa[i_sigma, i_temp, i, j, k] = sum_k[vxf]
t = self._temperatures[i_temp]
self._mode_kappa *= (self._conversion_factor * Kb * t ** 2
/ np.prod(self._mesh))
if self._is_reducible_collision_matrix:
self._mode_kappa /= len(point_operations)
self._kappa[i_sigma, i_temp] = (
self._mode_kappa[i_sigma, i_temp].sum(axis=0).sum(axis=0))
def _show_log(self, i):
q = self._qpoints[i]
gp = self._grid_points[i]
frequencies = self._frequencies[gp]
gv = self._gv[i]
if self._is_full_pp:
ave_pp = self._averaged_pp_interaction[i]
text = "Frequency group velocity (x, y, z) |gv| Pqj"
else:
text = "Frequency group velocity (x, y, z) |gv|"
if self._gv_delta_q is None:
pass
else:
text += " (dq=%3.1e)" % self._gv_delta_q
print(text)
if self._is_full_pp:
for f, v, pp in zip(frequencies, gv, ave_pp):
print("%8.3f (%8.3f %8.3f %8.3f) %8.3f %11.3e" %
(f, v[0], v[1], v[2], np.linalg.norm(v), pp))
else:
for f, v in zip(frequencies, gv):
print("%8.3f (%8.3f %8.3f %8.3f) %8.3f" %
(f, v[0], v[1], v[2], np.linalg.norm(v)))
sys.stdout.flush()
def _py_symmetrize_collision_matrix(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_ir_grid_points = len(self._ir_grid_points)
for i in range(num_ir_grid_points):
for j in range(num_band):
for k in range(3):
for l in range(num_ir_grid_points):
for m in range(num_band):
for n in range(3):
self._py_set_symmetrized_element(
i, j, k, l, m, n)
def _py_set_symmetrized_element(self, i, j, k, l, m, n):
sym_val = (self._collision_matrix[:, :, i, j, k, l, m, n] +
self._collision_matrix[:, :, l, m, n, i, j, k]) / 2
self._collision_matrix[:, :, i, j, k, l, m, n] = sym_val
self._collision_matrix[:, :, l, m, n, i, j, k] = sym_val
def _py_symmetrize_collision_matrix_no_kappa_stars(self):
num_band = self._primitive.get_number_of_atoms() * 3
num_ir_grid_points = len(self._ir_grid_points)
for i in range(num_ir_grid_points):
for j in range(num_band):
for k in range(num_ir_grid_points):
for l in range(num_band):
self._py_set_symmetrized_element_no_kappa_stars(
i, j, k, l)
def _py_set_symmetrized_element_no_kappa_stars(self, i, j, k, l):
sym_val = (self._collision_matrix[:, :, i, j, k, l] +
self._collision_matrix[:, :, k, l, i, j]) / 2
self._collision_matrix[:, :, i, j, k, l] = sym_val
self._collision_matrix[:, :, k, l, i, j] = sym_val