本文整理汇总了Python中pymatgen.Structure.make_supercell方法的典型用法代码示例。如果您正苦于以下问题：Python Structure.make_supercell方法的具体用法？Python Structure.make_supercell怎么用？Python Structure.make_supercell使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pymatgen.Structure的用法示例。
在下文中一共展示了Structure.make_supercell方法的8个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_disordered_primitive_to_ordered_supercell
# 需要导入模块: from pymatgen import Structure [as 别名]
# 或者: from pymatgen.Structure import make_supercell [as 别名]
def test_disordered_primitive_to_ordered_supercell(self):
sm_atoms = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5,
primitive_cell=False, scale=True,
attempt_supercell=True,
allow_subset=True,
supercell_size='num_atoms',
comparator=OrderDisorderElementComparator())
sm_sites = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5,
primitive_cell=False, scale=True,
attempt_supercell=True,
allow_subset=True,
supercell_size='num_sites',
comparator=OrderDisorderElementComparator())
lp = Lattice.orthorhombic(10, 20, 30)
pcoords = [[0, 0, 0],
[0.5, 0.5, 0.5]]
ls = Lattice.orthorhombic(20, 20, 30)
scoords = [[0, 0, 0],
[0.75, 0.5, 0.5]]
prim = Structure(lp, [{'Na': 0.5}, {'Cl': 0.5}], pcoords)
supercell = Structure(ls, ['Na', 'Cl'], scoords)
supercell.make_supercell([[-1, 1, 0], [0, 1, 1], [1, 0, 0]])
self.assertFalse(sm_sites.fit(prim, supercell))
self.assertTrue(sm_atoms.fit(prim, supercell))
self.assertRaises(ValueError, sm_atoms.get_s2_like_s1, prim, supercell)
self.assertEqual(len(sm_atoms.get_s2_like_s1(supercell, prim)), 4)示例2: test_get_mapping
# 需要导入模块: from pymatgen import Structure [as 别名]
# 或者: from pymatgen.Structure import make_supercell [as 别名]
def test_get_mapping(self):
sm = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5,
primitive_cell=False, scale=True,
attempt_supercell=False,
allow_subset=True)
l = Lattice.orthorhombic(1, 2, 3)
s1 = Structure(l, ['Ag', 'Si', 'Si'],
[[.7, .4, .5], [0, 0, 0.1], [0, 0, 0.2]])
s1.make_supercell([2, 1, 1])
s2 = Structure(l, ['Si', 'Si', 'Ag'],
[[0, 0.1, -0.95], [0, 0.1, 0], [-.7, .5, .375]])
shuffle = [2, 0, 1, 3, 5, 4]
s1 = Structure.from_sites([s1[i] for i in shuffle])
# test the mapping
s2.make_supercell([2, 1, 1])
# equal sizes
for i, x in enumerate(sm.get_mapping(s1, s2)):
self.assertEqual(s1[x].species,
s2[i].species)
del s1[0]
# s1 is subset of s2
for i, x in enumerate(sm.get_mapping(s2, s1)):
self.assertEqual(s1[i].species,
s2[x].species)
# s2 is smaller than s1
del s2[0]
del s2[1]
self.assertRaises(ValueError, sm.get_mapping, s2, s1)示例3: test_get_supercell_matrix
# 需要导入模块: from pymatgen import Structure [as 别名]
# 或者: from pymatgen.Structure import make_supercell [as 别名]
def test_get_supercell_matrix(self):
sm = StructureMatcher(ltol=0.1, stol=0.3, angle_tol=2,
primitive_cell=False, scale=True,
attempt_supercell=True)
l = Lattice.orthorhombic(1, 2, 3)
s1 = Structure(l, ['Si', 'Si', 'Ag'],
[[0, 0, 0.1], [0, 0, 0.2], [.7, .4, .5]])
s1.make_supercell([2, 1, 1])
s2 = Structure(l, ['Si', 'Si', 'Ag'],
[[0, 0.1, 0], [0, 0.1, -0.95], [-.7, .5, .375]])
result = sm.get_supercell_matrix(s1, s2)
self.assertTrue((result == [[-2, 0, 0], [0, 1, 0], [0, 0, 1]]).all())
s1 = Structure(l, ['Si', 'Si', 'Ag'],
[[0, 0, 0.1], [0, 0, 0.2], [.7, .4, .5]])
s1.make_supercell([[1, -1, 0], [0, 0, -1], [0, 1, 0]])
s2 = Structure(l, ['Si', 'Si', 'Ag'],
[[0, 0.1, 0], [0, 0.1, -0.95], [-.7, .5, .375]])
result = sm.get_supercell_matrix(s1, s2)
self.assertTrue((result == [[-1, -1, 0], [0, 0, -1], [0, 1, 0]]).all())
# test when the supercell is a subset
sm = StructureMatcher(ltol=0.1, stol=0.3, angle_tol=2,
primitive_cell=False, scale=True,
attempt_supercell=True, allow_subset=True)
del s1[0]
result = sm.get_supercell_matrix(s1, s2)
self.assertTrue((result == [[-1, -1, 0], [0, 0, -1], [0, 1, 0]]).all())示例4: test_apply_transformation_mult
# 需要导入模块: from pymatgen import Structure [as 别名]
# 或者: from pymatgen.Structure import make_supercell [as 别名]
def test_apply_transformation_mult(self):
# Test returning multiple structures from each transformation.
disord = Structure(np.eye(3) * 4.209, [{"Cs+": 0.5, "K+": 0.5}, "Cl-"], [[0, 0, 0], [0.5, 0.5, 0.5]])
disord.make_supercell([2, 2, 1])
tl = [EnumerateStructureTransformation(), OrderDisorderedStructureTransformation()]
t = SuperTransformation(tl, nstructures_per_trans=10)
self.assertEqual(len(t.apply_transformation(disord, return_ranked_list=20)), 8)
t = SuperTransformation(tl)
self.assertEqual(len(t.apply_transformation(disord, return_ranked_list=20)), 2)示例5: test_find_match2
# 需要导入模块: from pymatgen import Structure [as 别名]
# 或者: from pymatgen.Structure import make_supercell [as 别名]
def test_find_match2(self):
sm = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5,
primitive_cell=True, scale=True,
attempt_supercell=False)
l = Lattice.orthorhombic(1, 2, 3)
s1 = Structure(l, ['Si', 'Si'], [[0, 0, 0.1], [0, 0, 0.2]])
s2 = Structure(l, ['Si', 'Si'], [[0, 0.1, 0], [0, 0.1, -0.95]])
s1, s2, fu, s1_supercell = sm._preprocess(s1, s2, False)
match = sm._strict_match(s1, s2, fu, s1_supercell=False,
use_rms=True, break_on_match=False)
scale_matrix = match[2]
s2.make_supercell(scale_matrix)
s2.translate_sites(range(len(s2)), match[3])
self.assertAlmostEqual(np.sum(s2.frac_coords) % 1, 0.3)
self.assertAlmostEqual(np.sum(s2.frac_coords[:, :2]) % 1, 0)示例6: test_get_s2_large_s2
# 需要导入模块: from pymatgen import Structure [as 别名]
# 或者: from pymatgen.Structure import make_supercell [as 别名]
def test_get_s2_large_s2(self):
sm = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5,
primitive_cell=False, scale=False,
attempt_supercell=True, allow_subset=False,
supercell_size='volume')
l = Lattice.orthorhombic(1, 2, 3)
s1 = Structure(l, ['Ag', 'Si', 'Si'],
[[.7, .4, .5], [0, 0, 0.1], [0, 0, 0.2]])
l2 = Lattice.orthorhombic(1.01, 2.01, 3.01)
s2 = Structure(l2, ['Si', 'Si', 'Ag'],
[[0, 0.1, -0.95], [0, 0.1, 0], [-.7, .5, .375]])
s2.make_supercell([[0, -1, 0], [1, 0, 0], [0, 0, 1]])
result = sm.get_s2_like_s1(s1, s2)
for x, y in zip(s1, result):
self.assertLess(x.distance(y), 0.08)示例7: test_find_match1
# 需要导入模块: from pymatgen import Structure [as 别名]
# 或者: from pymatgen.Structure import make_supercell [as 别名]
def test_find_match1(self):
sm = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5,
primitive_cell=True, scale=True,
attempt_supercell=False)
l = Lattice.orthorhombic(1, 2, 3)
s1 = Structure(l, ['Si', 'Si', 'Ag'],
[[0,0,0.1],[0,0,0.2],[.7,.4,.5]])
s2 = Structure(l, ['Si', 'Si', 'Ag'],
[[0,0.1,0],[0,0.1,-0.95],[.7,.5,.375]])
s1, s2, fu, s1_supercell = sm._preprocess(s1, s2, False)
match = sm._strict_match(s1, s2, fu, s1_supercell = True, use_rms = True, break_on_match = False)
scale_matrix = match[2]
s2.make_supercell(scale_matrix)
fc = s2.frac_coords + match[3]
fc -= np.round(fc)
self.assertAlmostEqual(np.sum(fc), 0.9)
self.assertAlmostEqual(np.sum(fc[:,:2]), 0.1)
cart_dist = np.sum(match[1] * (l.volume/3) ** (1/3))
self.assertAlmostEqual(cart_dist, 0.15)示例8: test_supercell_subsets
# 需要导入模块: from pymatgen import Structure [as 别名]
# 或者: from pymatgen.Structure import make_supercell [as 别名]
def test_supercell_subsets(self):
sm = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5,
primitive_cell=False, scale=True,
attempt_supercell=True, allow_subset=True,
supercell_size='volume')
sm_no_s = StructureMatcher(ltol=0.2, stol=0.3, angle_tol=5,
primitive_cell=False, scale=True,
attempt_supercell=True, allow_subset=False,
supercell_size='volume')
l = Lattice.orthorhombic(1, 2, 3)
s1 = Structure(l, ['Ag', 'Si', 'Si'],
[[.7, .4, .5], [0, 0, 0.1], [0, 0, 0.2]])
s1.make_supercell([2, 1, 1])
s2 = Structure(l, ['Si', 'Si', 'Ag'],
[[0, 0.1, -0.95], [0, 0.1, 0], [-.7, .5, .375]])
shuffle = [0, 2, 1, 3, 4, 5]
s1 = Structure.from_sites([s1[i] for i in shuffle])
# test when s1 is exact supercell of s2
result = sm.get_s2_like_s1(s1, s2)
for a, b in zip(s1, result):
self.assertTrue(a.distance(b) < 0.08)
self.assertEqual(a.species, b.species)
self.assertTrue(sm.fit(s1, s2))
self.assertTrue(sm.fit(s2, s1))
self.assertTrue(sm_no_s.fit(s1, s2))
self.assertTrue(sm_no_s.fit(s2, s1))
rms = (0.048604032430991401, 0.059527539448807391)
self.assertTrue(np.allclose(sm.get_rms_dist(s1, s2), rms))
self.assertTrue(np.allclose(sm.get_rms_dist(s2, s1), rms))
# test when the supercell is a subset of s2
subset_supercell = s1.copy()
del subset_supercell[0]
result = sm.get_s2_like_s1(subset_supercell, s2)
self.assertEqual(len(result), 6)
for a, b in zip(subset_supercell, result):
self.assertTrue(a.distance(b) < 0.08)
self.assertEqual(a.species, b.species)
self.assertTrue(sm.fit(subset_supercell, s2))
self.assertTrue(sm.fit(s2, subset_supercell))
self.assertFalse(sm_no_s.fit(subset_supercell, s2))
self.assertFalse(sm_no_s.fit(s2, subset_supercell))
rms = (0.053243049896333279, 0.059527539448807336)
self.assertTrue(np.allclose(sm.get_rms_dist(subset_supercell, s2), rms))
self.assertTrue(np.allclose(sm.get_rms_dist(s2, subset_supercell), rms))
# test when s2 (once made a supercell) is a subset of s1
s2_missing_site = s2.copy()
del s2_missing_site[1]
result = sm.get_s2_like_s1(s1, s2_missing_site)
for a, b in zip((s1[i] for i in (0, 2, 4, 5)), result):
self.assertTrue(a.distance(b) < 0.08)
self.assertEqual(a.species, b.species)
self.assertTrue(sm.fit(s1, s2_missing_site))
self.assertTrue(sm.fit(s2_missing_site, s1))
self.assertFalse(sm_no_s.fit(s1, s2_missing_site))
self.assertFalse(sm_no_s.fit(s2_missing_site, s1))
rms = (0.029763769724403633, 0.029763769724403987)
self.assertTrue(np.allclose(sm.get_rms_dist(s1, s2_missing_site), rms))
self.assertTrue(np.allclose(sm.get_rms_dist(s2_missing_site, s1), rms))