def test_no_throw(self):
if not available:
self.skipTest(skipMsg)
no_throw = True
msg = ""
try:
bc = get_ternary_BC()
eci = get_example_ecis(bc)
atoms = bc.atoms.copy()
CE(atoms, bc, eci=eci)
mc = Montecarlo(atoms, 1000)
mc.insert_symbol_random_places("Mg", num=10, swap_symbs=["Al"])
# Note: convergence_factor should never be
# set to a negative value! Here it is done
# to make the test converged after one step
bias = AdaptiveBiasReactionPathSampler(
mc_obj=mc,
react_crd_init=DummyReacCrdInit(),
react_crd=[-1.0, 1.0],
convergence_factor=-1.0)
bias.run()
except Exception as exc:
msg = str(exc)
no_throw = False
self.assertTrue(no_throw, msg=msg)
def test_with_bias_potential(self):
if not available:
self.skipTest(avail_msg)
msg = ""
try:
os.remove("test_db_ternary.db")
except Exception:
pass
no_throw = True
try:
bc = get_ternary_BC()
ecis = get_example_ecis(bc=bc)
atoms = bc.atoms.copy()
calc = CE(atoms, bc, eci=ecis)
groups = [{"Al": 2}, {"Mg": 1, "Si": 1}]
symbs = ["Al", "Mg", "Si"]
T = 400
mc = PseudoBinarySGC(atoms,
T,
chem_pot=-0.2,
symbols=symbs,
groups=groups)
conc_init = PseudoBinaryConcInitializer(mc)
reac_crd = np.linspace(0.0, 1.0, 10)
bias_pot = reac_crd**2
bias = PseudoBinaryFreeEnergyBias(conc_init, reac_crd, bias_pot)
mc.add_bias(bias)
mc.runMC(mode="fixed", steps=100, equil=False)
os.remove("test_db_ternary.db")
except Exception as exc:
msg = "{}: {}".format(type(exc).__name__, str(exc))
no_throw = False
self.assertTrue(no_throw, msg)
def test_pair_observer(self):
if not available:
self.skipTest(skip_msg)
no_throw = True
msg = ""
bc = get_ternary_BC()
ecis = get_example_ecis(bc=bc)
atoms = bc.atoms.copy()
calc = CE(atoms, bc, eci=ecis)
atoms.set_calculator(calc)
T = 1000
nn_names = [name for name in bc.cluster_family_names
if int(name[1]) == 2]
mc = FixedNucleusMC(
atoms, T, network_name=nn_names,
network_element=["Mg", "Si"])
mc.insert_symbol_random_places("Mg", swap_symbs=["Al"])
elements = {"Mg": 3, "Si": 3}
mc.grow_cluster(elements)
obs = PairObserver(mc.atoms, cutoff=4.1, elements=["Mg", "Si"])
mc.attach(obs)
mc.runMC(steps=200)
self.assertEqual(obs.num_pairs, obs.num_pairs_brute_force())
self.assertTrue(obs.symbols_is_synced())
def test_no_throw(self):
if not available:
self.skipTest(avail_msg)
msg = ""
try:
os.remove("test_db_ternary.db")
except Exception:
pass
no_throw = True
try:
bc = get_ternary_BC()
ecis = get_example_ecis(bc=bc)
atoms = bc.atoms.copy()
calc = CE(atoms, bc, eci=ecis)
groups = [{"Al": 2}, {"Mg": 1, "Si": 1}]
symbs = ["Al", "Mg", "Si"]
T = 400
mc = PseudoBinarySGC(atoms,
T,
chem_pot=-0.2,
symbols=symbs,
groups=groups)
mc.runMC(mode="fixed", steps=100, equil=False)
os.remove("test_db_ternary.db")
except Exception as exc:
msg = "{}: {}".format(type(exc).__name__, str(exc))
no_throw = False
self.assertTrue(no_throw, msg)
def test_ignore_atoms(self):
if not has_ase_with_ce:
self.skipTest("ASE does not have CE")
from cemc.mcmc import FixedElement
no_trow = True
msg = ""
try:
from copy import deepcopy
conc = Concentration(basis_elements=[['V', 'Li'], ['O']])
kwargs = {
"crystalstructure": "rocksalt",
"concentration": conc,
"a": 4.12,
'size': [2, 2, 2],
'cubic': True,
"max_cluster_size": 4,
"max_cluster_dia": 4.12,
"db_name": 'database.db',
'basis_function': 'sluiter',
'ignore_background_atoms': True
}
fix_elem = FixedElement(element="O")
kw_args_cpy = deepcopy(kwargs)
ceBulk = CEBulk(**kw_args_cpy)
ecis = get_example_ecis(ceBulk)
atoms = get_atoms_with_ce_calc(ceBulk,
kwargs,
eci=ecis,
size=[3, 3, 3],
db_name="ignore_test_large.db")
calc = atoms.get_calculator()
# Insert some Li atoms
num_li = 5
symbols = [atom.symbol for atom in atoms]
num_inserted = 0
for i in range(0, len(symbols)):
if symbols[i] == "V":
symbols[i] = "Li"
num_inserted += 1
if num_inserted >= num_li:
break
calc.set_symbols(symbols)
mc = Montecarlo(atoms, 800)
mc.add_constraint(fix_elem)
mc.runMC(steps=100, equil=False, mode="fixed")
# Clean up files
os.remove("ignore_test_large.db")
os.remove("database.db")
except Exception as exc:
no_trow = False
msg = str(exc)
self.assertTrue(no_trow, msg=msg)
def test_run(self):
if not available:
self.skipTest(reason)
bc = get_ternary_BC()
eci = get_example_ecis(bc)
atoms = bc.atoms.copy()
calc = CE(atoms, bc, eci=eci)
mc = Montecarlo(atoms, 1000000)
mc.insert_symbol_random_places("Mg", swap_symbs=["Al"], num=3)
performance_monitor = MultithreadPerformance(4)
performance_monitor.run(mc, 100)
def test_adaptive_euler(self):
if ( not has_ase_with_ce ):
msg = "ASE version does not have CE"
self.skipTest( msg )
return
no_throw = True
msg = ""
try:
b1, b2, a1, a2 = self.init_bulk_crystal()
gs1 = {
"atoms": a1,
"bc":b1,
"eci":get_example_ecis(bc=b1),
"cf":get_example_cf(bc=b1, atoms=a1)
}
gs2 = {
"atoms": a2,
"bc":b2,
"eci":get_example_ecis(bc=b2),
"cf":get_example_cf(bc=b2, atoms=a2)
}
ground_states = [gs1, gs2]
boundary = PhaseBoundaryTracker( ground_states )
T = [10,20]
mc_args = {
"steps":10,
"mode":"fixed",
"equil":False
}
res = boundary.separation_line_adaptive_euler(init_temp=100, min_step=99,stepsize=100, mc_args=mc_args, symbols=["Al","Mg"])
fname = "test_phase_boundary.h5"
save_phase_boundary(fname, res)
process_phase_boundary(fname)
except Exception as exc:
no_throw = False
msg = str(exc)
self.assertTrue( no_throw, msg=msg )
def init_bulk_crystal(self):
conc = Concentration(basis_elements=[["Al", "Mg", "Si"]])
ceBulk = CEBulk(crystalstructure="fcc",
a=4.05,
size=[4, 4, 4],
concentration=conc,
db_name=db_name,
max_cluster_size=2,
max_cluster_dia=4.0)
ceBulk.reconfigure_settings()
ecis = get_example_ecis(bc=ceBulk)
atoms = ceBulk.atoms.copy()
calc = CE(atoms, ceBulk, ecis)
return ceBulk, atoms
def test_covariance_observer(self):
"""Test the covariance observer."""
if not available:
self.skipTest("ASE version does not have CE!")
msg = ""
no_throw = True
from cemc.mcmc import FixEdgeLayers
from cemc.mcmc import CovarianceMatrixObserver
bc, args = get_ternary_BC(ret_args=True)
ecis = get_example_ecis(bc=bc)
atoms = get_atoms_with_ce_calc(bc, args, eci=ecis, size=[8, 8, 8], db_name="covariance_obs.db")
T = 200
nn_names = [name for name in bc.cluster_family_names
if int(name[1]) == 2]
mc = FixedNucleusMC(
atoms, T, network_name=nn_names,
network_element=["Mg", "Si"])
fixed_layers = FixEdgeLayers(atoms=mc.atoms, thickness=3.0)
mc.add_constraint(fixed_layers)
elements = {"Mg": 6, "Si": 6}
mc.insert_symbol_random_places("Mg", num=1, swap_symbs=["Al"])
mc.grow_cluster(elements)
cov_obs = CovarianceMatrixObserver(atoms=mc.atoms, cluster_elements=["Mg", "Si"])
mc.attach(cov_obs)
for _ in range(10):
mc.runMC(steps=100, elements=elements, init_cluster=False)
obs_I = cov_obs.cov_matrix
indices = []
for atom in mc.atoms:
if atom.symbol in ["Mg", "Si"]:
indices.append(atom.index)
cluster = mc.atoms[indices]
pos = cluster.get_positions()
com = np.mean(pos, axis=0)
pos -= com
cov_matrix = np.zeros((3, 3))
for i in range(pos.shape[0]):
x = pos[i, :]
cov_matrix += np.outer(x, x)
self.assertTrue(np.allclose(obs_I, cov_matrix))
os.remove("covariance_obs.db")
def init_bulk_crystal(self):
conc_args = {
"conc_ratio_min_1": [[2, 1, 1]],
"conc_ratio_max_1": [[0, 2, 2]],
}
ceBulk = CEBulk(crystalstructure="fcc",
a=4.05,
size=[4, 4, 4],
basis_elements=[["Al", "Mg", "Si"]],
conc_args=conc_args,
db_name=db_name,
max_cluster_size=2,
max_cluster_dia=4.0)
ceBulk.reconfigure_settings()
ecis = get_example_ecis(bc=ceBulk)
calc = CE(ceBulk, ecis)
ceBulk.atoms.set_calculator(calc)
return ceBulk
def test_raise_error_on_invalid_chem_pot(self):
if not available:
self.skipTest(avail_msg)
bc = get_ternary_BC()
ecis = get_example_ecis(bc=bc)
ecis.pop('c1_1')
atoms = bc.atoms.copy()
calc = CE(atoms, bc, eci=ecis)
atoms.set_calculator(calc)
groups = [{"Al": 2}, {"Mg": 1, "Si": 1}]
symbs = ["Al", "Mg", "Si"]
T = 400
with self.assertRaises(InvalidChemicalPotentialError):
PseudoBinarySGC(atoms,
T,
chem_pot=-0.2,
symbols=symbs,
groups=groups)
def test_with_ternay(self):
if ( not has_ase_with_ce ):
msg = "ASE version does not have CE"
self.skipTest( msg )
return
no_throw = True
msg = ""
try:
ground_states = []
elements = ["Al", "Mg", "Si"]
for i in range(3):
ce_bulk = get_ternary_BC()
eci = get_example_ecis(bc=ce_bulk)
atoms = ce_bulk.atoms.copy()
for atom in atoms:
atom.symbol = elements[i]
gs = {
"atoms": atoms,
"bc":ce_bulk,
"eci":eci,
"cf":get_example_cf(bc=ce_bulk, atoms=atoms)
}
ground_states.append(gs)
boundary = PhaseBoundaryTracker( ground_states )
T = [10,20]
mc_args = {
"steps":10,
"mode":"fixed",
"equil":False
}
res = boundary.separation_line_adaptive_euler( init_temp=100,min_step=99,stepsize=100, mc_args=mc_args, symbols=["Al","Mg","Si"] )
fname = "test_phase_boundary_ternary.h5"
save_phase_boundary(fname, res)
process_phase_boundary(fname)
except Exception as exc:
no_throw = False
msg = str(exc)
self.assertTrue( no_throw, msg=msg )
def test_with_covariance_reac_crd(self):
if not available:
self.skipTest("ASE version does not have CE!")
msg = ""
no_throw = True
try:
bc = get_ternary_BC()
atoms = bc.atoms.copy()
ecis = get_example_ecis(bc=bc)
calc = CE(atoms, bc, eci=ecis)
#bc.atoms.set_calculator(calc)
T = 200
nn_names = [name for name in bc.cluster_family_names
if int(name[1]) == 2]
mc = FixedNucleusMC(
atoms, T, network_name=nn_names,
network_element=["Mg", "Si"])
elements = {"Mg": 4, "Si": 4}
mc.insert_symbol_random_places("Mg", num=1, swap_symbs=["Al"])
mc.grow_cluster(elements)
conc_init = CovarianceCrdInitializer(
fixed_nucl_mc=mc, matrix_element="Al",
cluster_elements=["Mg", "Si"])
mc.runMC(steps=100, init_cluster=False)
match, match_msg = self._spherical_nano_particle_matches(conc_init)
self.assertTrue(match, msg=match_msg)
except Exception as exc:
no_throw = False
msg = str(exc)
self.assertTrue(no_throw, msg=msg)