def test_metal_ceramic_interface():
m1 = get_jid_data(jid="JVASP-816", dataset="dft_3d")["atoms"]
m2 = get_jid_data(jid="JVASP-32", dataset="dft_3d")["atoms"]
mat_Al = Atoms.from_dict(m1)
mat_Al2O3 = Atoms.from_dict(m2)
from jarvis.analysis.defects.surface import Surface
mat1 = Surface(atoms=mat_Al, indices=[1, 1, 1], layers=3).make_surface()
mat2 = Surface(atoms=mat_Al2O3, indices=[0, 0, 1], layers=1).make_surface()
combined = make_interface(
film=mat1, # .center_around_origin(),
max_area=500,
max_area_ratio_tol=0.09,
ltol=0.01,
apply_strain=True,
subs=mat2, # .center_around_origin(),
)["interface"]
print(combined)
# from ase.lattice.surface import surface
# from pymatgen.io.ase import AseAtomsAdaptor
# from pymatgen.symmetry.analyzer import SpacegroupAnalyzer
# from pymatgen.io.vasp.inputs import Poscar
# mat_cvn = SpacegroupAnalyzer(mat_Al.pymatgen_converter()).get_conventional_standard_structure()
# ase_atoms = AseAtomsAdaptor().get_atoms(mat_cvn)
# ase_slab = surface(ase_atoms, [1,1,1], 3)
# ase_slab.center(vacuum=18, axis=2)
# slab_pymatgen = AseAtomsAdaptor().get_structure(ase_slab)
# slab_pymatgen.sort()
# print (Poscar(slab_pymatgen))
# print ()
# print ()
print(mat1.center_around_origin().get_string(cart=False))
def from_dict(self, d={}):
"""Load from a dictionary."""
return Vacancy(
atoms=Atoms.from_dict(d["atoms"]),
defect_structure=Atoms.from_dict(d["defect_structure"]),
defect_index=d["defect_index"],
wyckoff_multiplicity=d["wyckoff_multiplicity"],
symbol=d["symbol"],
)
def test_graph():
from jarvis.core.atoms import Atoms
from jarvis.db.figshare import get_jid_data
atoms = Atoms.from_poscar(test_pos)
g = Graph.atom_dgl_multigraph(atoms=atoms, atom_features="cgcnn")
atoms = Atoms.from_dict(get_jid_data("JVASP-664")["atoms"])
feature_sets = ("atomic_number", "basic", "cfid", "cgcnn")
for i in feature_sets:
g = Graph.atom_dgl_multigraph(atoms=atoms, atom_features=i)
g = Graph.atom_dgl_multigraph(atoms=atoms, atom_features=i)
print(i, g)
batch = prepare_dgl_batch(torch.tensor([1, 1]))
batch = prepare_line_graph_batch(torch.tensor([1, 1, 1]))
g = Graph.from_atoms(atoms=atoms, features="atomic_number")
gnx = g.to_networkx()
g = Graph.from_atoms(atoms=atoms, features="atomic_number")
g = Graph.from_atoms(atoms=atoms, features="atomic_fraction")
g = Graph.from_atoms(
atoms=atoms,
features="basic",
get_prim=True,
zero_diag=True,
node_atomwise_angle_dist=True,
node_atomwise_rdf=True,
)
g = Graph.from_atoms(
atoms=atoms,
features="cfid",
get_prim=True,
zero_diag=True,
node_atomwise_angle_dist=True,
node_atomwise_rdf=True,
)
g = Graph.from_atoms(
atoms=atoms,
features="atomic_number",
get_prim=True,
zero_diag=True,
node_atomwise_angle_dist=True,
node_atomwise_rdf=True,
)
g = Graph.from_atoms(atoms=atoms, features="basic")
g = Graph.from_atoms(
atoms=atoms, features=["Z", "atom_mass", "max_oxid_s"]
)
g = Graph.from_atoms(atoms=atoms, features="cfid", max_cut=10000)
print(g)
d = g.to_dict()
g = Graph.from_dict(d)
num_nodes = g.num_nodes
num_edges = g.num_edges
print(num_nodes, num_edges)
assert num_nodes == 48
assert num_edges == 2256
assert (g.adjacency_matrix.shape) == (48, 48)
def test_ldau():
d = data('dft_3d')
for i in d:
if i['jid'] == 'JVASP-29569':
atoms = Atoms.from_dict(i['atoms'])
ld = find_ldau_magmom(atoms=atoms, lsorbit=True)
ld = find_ldau_magmom(atoms=atoms, lsorbit=False)
if i['jid'] == 'JVASP-45':
atoms = Atoms.from_dict(i['atoms'])
ld = find_ldau_magmom(atoms=atoms, lsorbit=True)
assert ld['LDAUU'] == '3.0 0'
ld = find_ldau_magmom(atoms=atoms, lsorbit=False)
def test_zur():
m1 = get_jid_data("JVASP-664")["atoms"]
m2 = get_jid_data("JVASP-652")["atoms"]
s1 = Atoms.from_dict(m1)
s2 = Atoms.from_dict(m2)
info = make_interface(film=s1, subs=s2)
combined = info["interface"]
assert (
round(info["mismatch_u"], 3),
round(info["mismatch_angle"], 3),
) == (
-0.041,
0.0,
)
def test_vacancy():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.25, 0.25]]
elements = ["Si", "Si"]
Si = Atoms(lattice_mat=box, coords=coords, elements=elements)
v = Vacancy(atoms=Si)
vacs = v.generate_defects(enforce_c_size=10.0)
td = vacs[0].to_dict()
fd = Vacancy.from_dict(td)
# print ( len(vacs),(vacs[0].to_dict()["defect_structure"].num_atoms))
# print (vacs[0].to_dict()["defect_structure"])
assert (
len(vacs),
Atoms.from_dict(vacs[0].to_dict()["defect_structure"]).num_atoms,
) == (1, 53)
def get_atoms(structure):
"""
Returns JARVIS Atoms object from pymatgen structure.
Args:
structure: pymatgen.core.structure.Structure
Returns:
JARVIS Atoms object
"""
if not structure.is_ordered:
raise ValueError("JARVIS Atoms only supports ordered structures")
if not jarvis_loaded:
raise ImportError(
"JarvisAtomsAdaptor requires jarvis-tools package.\nUse `pip install -U jarvis-tools`"
)
elements = [str(site.specie.symbol) for site in structure]
coords = [site.frac_coords for site in structure]
lattice_mat = structure.lattice.matrix
return Atoms(
lattice_mat=lattice_mat,
elements=elements,
coords=coords,
cartesian=False,
)
def test_kp():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.25, 0.25]]
elements = ["Si", "Si"]
Si = Atoms(lattice_mat=box, coords=coords, elements=elements)
lattice_mat = Si.lattice_mat
kp = Kpoints3D().automatic_length_mesh(lattice_mat=lattice_mat, length=20)
td = kp.to_dict()
fd = Kpoints3D.from_dict(td)
sym = kp.high_symm_path(Si)._path
x, y = kp.interpolated_points(Si)
kpath = generate_kpath(kpath=[[0, 0, 0], [0, 0.5, 0.5]], num_k=5)
kps = generate_kgrid(grid=[5, 5, 5])
new_file, filename = tempfile.mkstemp()
kp.write_file(filename)
sym = kp.high_symm_path(s1)._path
sym = kp.high_symm_path(s2)._path
sym = kp.high_symm_path(s3)._path
sym = kp.high_symm_path(s4)._path
sym = kp.high_symm_path(s5)._path
sym = kp.high_symm_path(s6)._path
sym = kp.high_symm_path(s7)._path
assert (len(x), x[0][0], y[0], kpath[0][0], kps[0][0]) == (
166,
0,
"\Gamma",
0.0,
0.0,
)
kp = Kpoints3D().kpath(atoms=Si, unique_kp_only=True)
def get_jarvis_atoms(optimade_structure: OptimadeStructure) -> Atoms:
""" Get jarvis Atoms from OPTIMADE structure
NOTE: Cannot handle partial occupancies
:param optimade_structure: OPTIMADE structure
:return: jarvis.core.Atoms
"""
if globals().get("Atoms", None) is None:
warn(JARVIS_NOT_FOUND)
return None
attributes = optimade_structure.attributes
# Cannot handle partial occupancies
if "disorder" in attributes.structure_features:
raise ConversionError(
"jarvis-tools cannot handle structures with partial occupancies."
)
cartesian_site_positions, _ = pad_positions(attributes.cartesian_site_positions)
return Atoms(
lattice_mat=attributes.lattice_vectors,
elements=[specie.name for specie in attributes.species],
coords=cartesian_site_positions,
cartesian=True,
)
def final_structure(self):
"""Get final atoms."""
elements = []
pos = []
lat = []
lat.append([
float(i) for i in self.data["qes:espresso"]["step"][-1]
["atomic_structure"]["cell"]["a1"].split()
])
lat.append([
float(i) for i in self.data["qes:espresso"]["step"][-1]
["atomic_structure"]["cell"]["a2"].split()
])
lat.append([
float(i) for i in self.data["qes:espresso"]["step"][-1]
["atomic_structure"]["cell"]["a3"].split()
])
for i in self.data["qes:espresso"]["step"][-1]["atomic_structure"][
"atomic_positions"]["atom"]:
elements.append(i["@name"])
pos.append([float(j) for j in i["#text"].split()])
atoms = Atoms(elements=elements,
coords=pos,
lattice_mat=lat,
cartesian=True)
return atoms
def read_pdb(filename=""):
"""Read PDB file and make Atoms object."""
f = open(filename, "r")
lines = f.read().splitlines()
f.close()
coords = []
species = []
for i in lines:
tmp = i.split()
if "ATOM " in i and "REMARK" not in i and "SITE" not in i:
coord = [float(tmp[6]), float(tmp[7]), float(tmp[8])]
coords.append(coord)
species.append(tmp[11])
# print (coord,tmp[11])
coords = np.array(coords)
max_c = np.max(coords, axis=0)
min_c = np.min(coords, axis=0)
box = np.zeros((3, 3))
for j in range(3):
box[j, j] = abs(max_c[j] - min_c[j])
pdb = Atoms(lattice_mat=box, elements=species,
coords=coords, cartesian=True)
mol = VacuumPadding(pdb, vacuum=20.0).get_effective_molecule()
return mol
def get_jarvis_atoms(optimade_structure: OptimadeStructure) -> Atoms:
"""Get jarvis `Atoms` from OPTIMADE structure.
Caution:
Cannot handle partial occupancies.
Parameters:
optimade_structure: OPTIMADE structure.
Returns:
A jarvis `Atoms` object.
"""
if "optimade.adapters" in repr(globals().get("Atoms")):
warn(JARVIS_NOT_FOUND)
return None
attributes = optimade_structure.attributes
# Cannot handle partial occupancies
if StructureFeatures.DISORDER in attributes.structure_features:
raise ConversionError(
"jarvis-tools cannot handle structures with partial occupancies."
)
return Atoms(
lattice_mat=attributes.lattice_vectors,
elements=[specie.name for specie in attributes.species],
coords=attributes.cartesian_site_positions,
cartesian=True,
)
def test_nbors():
box = [[5.493642, 0, 0], [0, 5.493642, 0], [0, 0, 5.493642]]
elements = ["Si", "Si", "Si", "Si", "Si", "Si", "Si", "Si"]
coords = [
[0, 0, 0],
[0.25, 0.25, 0.25],
[0.000000, 0.500000, 0.500000],
[0.250000, 0.750000, 0.750000],
[0.500000, 0.000000, 0.500000],
[0.750000, 0.250000, 0.750000],
[0.500000, 0.500000, 0.000000],
[0.750000, 0.750000, 0.250000],
]
coords = np.array(coords)
# box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
# coords = [[0, 0, 0], [0.25, 0.25, 0.25]]
# elements = ["Si", "Si"]
Si = Atoms(lattice_mat=box, coords=coords, elements=elements)
nbr = NeighborsAnalysis(Si)
nb = nbr.get_all_distributions
tmp = round((nb["rdf"][-3]), 2)
assert (tmp) == (4.08)
nbr.get_rdf(plot=True)
# nbr.ang_dist(nbor_info=info,plot=True)
nbr.ang_dist_first(plot=True)
nbr.ang_dist_second(plot=True)
nbr.get_ddf(plot=True)
angs = nbr.atomwise_angle_dist()
ardf = nbr.atomwise_radial_dist()
cmd = "rm *.png"
os.system(cmd)
def test_win():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.25, 0.25]]
elements = ["Si", "Si"]
Si = Atoms(lattice_mat=box, coords=coords, elements=elements)
Wannier90win(struct=Si, efermi=0.0).write_win(name=win)
w = Wannier90win(struct=Si, efermi=0.0)
td = w.to_dict()
fd = Wannier90win.from_dict(td)
assert (os.path.isfile(win)) == (True)
os.remove(win)
Wannier90win(struct=s1, efermi=0.0).write_win(name=win)
assert (os.path.isfile(win)) == (True)
Wannier90win(struct=s1, efermi=0.0).write_hr_win(prev_win=win)
os.remove(win)
Wannier90win(struct=s2, efermi=0.0).write_win(name=win)
assert (os.path.isfile(win)) == (True)
os.remove(win)
Wannier90win(struct=s3, efermi=0.0).write_win(name=win)
assert (os.path.isfile(win)) == (True)
os.remove(win)
cmd = 'rm *.win'
os.system(cmd)
def test_inputs():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.25, 0.25]]
elements = ["Al", "Al"]
Al = Atoms(lattice_mat=box, coords=coords, elements=elements)
spg = Spacegroup3D(atoms=Al)
Al = spg.conventional_standard_structure
box = LammpsData().atoms_to_lammps(atoms=Al)
td = box.to_dict()
fd = LammpsData.from_dict(td)
box.write_file(filename=data)
d = box.to_dict()
# print ('d=',d)
reload_d = LammpsData.from_dict(d)
# print ('d=',reload_d)
atoms = box.lammps_to_atoms()
lmp = LammpsData().read_data(filename=data, potential_file=pot)
lmp = LammpsData().atoms_to_lammps(atoms=atoms)
pair_coeff = "abc"
inp = LammpsInput(LammpsDataObj=lmp).write_lammps_in(
lammps_in=init,
lammps_in1=pot,
lammps_in2=inm,
parameters={
"pair_style": "eam/alloy",
"pair_coeff": pair_coeff,
"atom_style": "charge",
"control_file": "/users/knc6/inelast.mod",
},
)
d = LammpsInput(LammpsDataObj=lmp).to_dict()
d = LammpsInput.from_dict(d)
assert (lmp._lammps_box[1], atoms.num_atoms) == (5.43, 8)
def test_spg():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.25, 0.25]]
elements = ["Si", "Si"]
Si = Atoms(lattice_mat=box, coords=coords, elements=elements)
spg = Spacegroup3D(atoms=Si) # .spacegroup_data()
cvn = spg.conventional_standard_structure
ml = symmetrically_distinct_miller_indices(max_index=3, cvn_atoms=cvn)
# print ('ml',ml)
x = get_wyckoff_position_operators(488)
# print (x['wyckoff'][0]['letter'])
assert (
spg.space_group_number,
spg.space_group_symbol,
cvn.num_atoms,
ml[0][0],
x["wyckoff"][0]["letter"],
) == (227, "Fd-3m", 8, 1, "l")
spg = Spacegroup3D(atoms=s1)
assert spg.space_group_number == 191
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
spg = Spacegroup3D(atoms=s2)
assert spg.space_group_number == 166
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
spg = Spacegroup3D(atoms=s3)
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
assert spg.space_group_number == 139
spg = Spacegroup3D(atoms=s4)
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
assert spg.space_group_number == 63
spg = Spacegroup3D(atoms=s5)
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
assert spg.space_group_number == 39
spg = Spacegroup3D(atoms=s6)
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
assert spg.space_group_number == 12
spg = Spacegroup3D(atoms=s7)
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
assert spg.space_group_number == 7
spg = Spacegroup3D(atoms=s8)
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
assert spg.space_group_number == 2
spg = Spacegroup3D(atoms=s9)
print(spg.space_group_number)
cvn = spg.conventional_standard_structure
assert spg.space_group_number == 11
def test_cal():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.2, 0.25]]
elements = ["Si", "Si"]
atoms = Atoms(lattice_mat=box, coords=coords, elements=elements)
decorated_atoms, hall_number, wsymbols = get_selective_dyn_decorated_atoms(
atoms)
assert (wsymbols, hall_number) == (["i", "i"], 63)
def get_2d_hetero_jids(jid1="JVASP-664", jid2="JVASP-52"):
from jarvis.db.figshare import get_jid_data
m1 = get_jid_data(jid1)["atoms"]
m2 = get_jid_data(jid2)["atoms"]
mat1 = Atoms.from_dict(m1)
mat2 = Atoms.from_dict(m2)
vac = max(mat1.lattice_mat[2][2], mat2.lattice_mat[2][2])
combined = make_interface(
film=mat1.center_around_origin(),
max_area=400,
max_area_ratio_tol=0.09,
ltol=0.05,
atol=0.1,
subs=mat2.center_around_origin(),
)["interface"]
return combined
def test_conv_method():
plt.switch_backend("agg")
a = Atoms.from_dict(get_jid_data("JVASP-667")["atoms"])
c = crop_square(a)
# c = a.make_supercell_matrix([2, 2, 1])
p = STEMConv(atoms=c).simulate_surface()
def test_kp():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.2, 0.25]]
elements = ["Si", "Si"]
s = Atoms(lattice_mat=box, coords=coords, elements=elements)
data = get_wien_kpoints(atoms=s, write_file=True)
cmd = "rm MyKpoints"
os.system(cmd)
def test_input():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.25, 0.25]]
elements = ["Si", "Si"]
Si = Atoms(lattice_mat=box, coords=coords, elements=elements)
spg = Spacegroup3D(Si)
Si_cvn = spg.conventional_standard_structure
p = PhonopyInputs(atoms=Si_cvn).generate_all_files()
def get_selective_dyn_decorated_atoms(atoms):
"""Freeze coordinates based on symmetry."""
spg = Spacegroup3D(atoms=atoms) # .spacegroup_data()
frac_coords = atoms.frac_coords
hall_number = spg._dataset["hall_number"]
wdata = get_wyckoff_position_operators(hall_number)["wyckoff"]
wsymbols = spg._dataset["wyckoffs"]
info = defaultdict()
for i in wdata:
info[i["letter"]] = i["positions"]
props = []
for i, j in zip(wsymbols, frac_coords):
ops = info[i]
# print ('ops,j',ops, j)
arr = ops
new_arr = []
for ii in arr:
a = ii.split(",")
b = []
for jj in a:
ind = jj
if "(" in jj:
ind = jj.split("(")[1] # .split(')')[0]
if ")" in jj:
ind = jj.split(")")[0] # .split(')')[0]
# print (a,ind,j)
if "/" in ind:
try:
tmp = ind.split("/")
ind = float(tmp[0]) / float(tmp[1])
except Exception:
pass
try:
ind = float(ind)
except Exception:
pass
b.append(ind)
new_arr.append(b)
# print ('arr',arr)
# print ('coord',j)
# print ()
arr_T_F = decorate_T_F(options=new_arr, coord=j)
props.append(arr_T_F)
# print ('new_arr',new_arr,j, arr_T_F)
# print ()
# print ()
# print ()
decorated_atoms = Atoms(
lattice_mat=atoms.lattice_mat,
elements=atoms.elements,
coords=frac_coords,
cartesian=False,
props=props,
)
return decorated_atoms, hall_number, wsymbols
def test_wann():
a = Atoms.from_poscar(pos)
fc = read_fc(fc_file)
get_phonon_tb(fc=fc, atoms=a, out_file=wtb)
cvn = Spacegroup3D(a).conventional_standard_structure
w = WannierHam(wtb)
w.get_bandstructure_plot(atoms=cvn, yrange=[0, 550])
cmd = "rm phonopyTB_hr.dat bs.png"
os.system(cmd)
def from_dict(self, d={}):
"""Construct class from a dictionary."""
return Surface(
atoms=Atoms.from_dict(d["atoms"]),
indices=d["indices"],
tol=d["tol"],
vacuum=d["vacuum"],
layers=d["layers"],
from_conventional_structure=d["from_conventional_structure"],
)
def from_dict(self, d={}):
"""Load from a dictionary."""
return LammpsJob(
atoms=Atoms.from_dict(d["atoms"]),
element_order=self.element_order,
parameters=d["parameters"],
lammps_cmd=d["lammps_cmd"],
output_file=d["output_file"],
stderr_file=d["stderr_file"],
jobname=d["jobname"],
attempts=d["attempts"],
copy_files=d["copy_files"],
)
def test_cal():
box = [[2.715, 2.715, 0], [0, 2.715, 2.715], [2.715, 0, 2.715]]
coords = [[0, 0, 0], [0.25, 0.2, 0.25]]
elements = ["Si", "Si"]
atoms = Atoms(lattice_mat=box, coords=coords, elements=elements)
decorated_atoms, hall_number, wsymbols = get_selective_dyn_decorated_atoms(
atoms)
print(decorated_atoms)
p = Poscar(decorated_atoms)
p.write_file('POSCAR')
#p2 = Poscar.from_file('POSCAR')
#print (p2)
assert (wsymbols, hall_number) == (["i", "i"], 63)
def from_dict(self, d={}):
"""Convert class from a dictionary."""
return Wannier90win(
struct=Atoms.from_dict(d["struct"]),
efermi=d["efermi"],
soc=d["soc"],
dis_num_iter=d["dis_num_iter"],
dis_mix_ratio=d["dis_mix_ratio"],
num_iter=d["num_iter"],
num_print_cycles=d["num_print_cycles"],
frozen_tol=d["frozen_tol"],
semi_core_states=d["semi_core_states"],
kmesh_tol=d["kmesh_tol"],
)
def from_dict(self, d={}):
"""Construct class from a dictionary."""
return WTin(
atoms=Atoms.from_dict(d["atoms"]),
nelect=d["nelect"],
wannierout=d["wannierout"],
efermi=d["efermi"],
soc=d["soc"],
exclude=d["exclude"],
nwan=d["nwan"],
wtin=d["wtin"],
miller=d["miller"],
semi_core_states=d["semi_core_states"],
)
def final_structure(self):
"""Get final atoms."""
line = self.data["qes:espresso"][self.set_key]
if isinstance(line, list):
line = line[-1]
elements = []
pos = []
lat = []
lat.append(
[float(i) for i in line["atomic_structure"]["cell"]["a1"].split()])
lat.append(
[float(i) for i in line["atomic_structure"]["cell"]["a2"].split()])
lat.append(
[float(i) for i in line["atomic_structure"]["cell"]["a3"].split()])
if isinstance(line["atomic_structure"]["atomic_positions"]["atom"],
list):
for i in line["atomic_structure"]["atomic_positions"]["atom"]:
elements.append(i["@name"])
pos.append([float(j) for j in i["#text"].split()])
atoms = Atoms(elements=elements,
coords=pos,
lattice_mat=lat,
cartesian=True)
else:
elements = [
line["atomic_structure"]["atomic_positions"]["atom"]["@name"]
]
pos = [[
float(j) for j in line["atomic_structure"]["atomic_positions"]
["atom"]["#text"].split()
]]
atoms = Atoms(elements=elements,
coords=pos,
lattice_mat=lat,
cartesian=True)
return atoms
def vrun_structure_to_atoms(self, s={}):
"""Convert structure to Atoms object."""
tmp = s["crystal"]["varray"][0]["v"]
lattice_mat = np.array([[float(j) for j in i.split()] for i in tmp])
frac_coords = np.array(
[[float(j) for j in i.split()] for i in s["varray"]["v"]]
)
elements = self.elements
atoms = Atoms(
lattice_mat=lattice_mat,
elements=elements,
coords=frac_coords,
cartesian=False,
)
return atoms
