Ejemplo n.º 1
0
def test_pubchem():
    from ase.data.pubchem import pubchem_search, pubchem_conformer_search
    from ase.data.pubchem import pubchem_atoms_search
    from ase.data.pubchem import pubchem_atoms_conformer_search

    # check class functionality
    data = pubchem_search('ammonia', mock_test=True)
    data.get_atoms()
    data.get_pubchem_data()
    # XXX maybe verify some of this data?

    # check the various entry styles and the functions that return atoms
    pubchem_search(cid=241, mock_test=True).get_atoms()
    pubchem_atoms_search(smiles='CCOH', mock_test=True)
    pubchem_atoms_conformer_search('octane', mock_test=True)
    # (maybe test something about some of the returned atoms)

    # check conformer searching
    confs = pubchem_conformer_search('octane', mock_test=True)
    for conf in confs:
        pass
    try:  # check that you can't pass in two args
        pubchem_search(name='octane', cid=222, mock_test=True)
        raise Exception('Test Failed')
    except ValueError:
        pass

    try:  # check that you must pass at least one arg
        pubchem_search(mock_test=True)
        raise Exception('Test Failed')
    except ValueError:
        pass
Ejemplo n.º 2
0
                 
    return ASE_new_positions


'''
Main Program Begins Here
'''
#TRAPPE 
#Collect TRAPPE input params
TRAPPE_fname =  'trappe_parameters_99.txt'
TRAPPE_atoms, TRAPPE_bonds, TRAPPE_name = get_TRAPPE_params(TRAPPE_fname)

#ASE
#Convert Smiles string into Atoms object.
SMILES = 'O=C(C=C)OCCCCCCCC'
atoms = pubchem_atoms_search(smiles=SMILES)

#Determine psuedo-atoms of molecule and remove hydrogens.
psuedo_atoms = get_psuedoatoms(atoms,TRAPPE_atoms,TRAPPE_bonds)

ana = Analysis(psuedo_atoms) #Create geometry analysis object from Atoms object.

organized_ASE_atoms = Order_atoms_wrt_TRAPPE(psuedo_atoms,ana,TRAPPE_bonds,TRAPPE_atoms)

#Center the psuedo_atoms. FEASST requires atom[0] to be located within origin!
for atm in organized_ASE_atoms:
    if atm[0] == 1:
        center_about = np.copy(atm[-1])
        break
        
for atm in organized_ASE_atoms:
Ejemplo n.º 3
0
                 positions=[[0, L / 2, L / 2]],
                 cell=[d, L, L],
                 pbc=[1, 0, 0])
    add_to_dict(AseAtomsAdaptor.get_structure(wire), metal + '_Wire')
"""

for metal in ['Au', 'Pt', 'Mo']:
    atoms = bulk(metal, cubic=True)
    if metal == 'Fe':
        atoms *= (1, 2, 2)
    atoms.set_cell([atoms.cell[0][0]] + [12] * 2)
    atoms.center()
    add_to_dict(AseAtomsAdaptor.get_structure(atoms), metal + '_wire')

# this code is about to get pretty serious if you are trying to follow it
atoms = pubchem_atoms_search('ethane')
vector = atoms[1].position - atoms[0].position
methyl = Atoms([atoms[a] for a in [1, 6, 5, 7]])
del atoms[7]
del atoms[6]
del atoms[5]
del atoms[1]
methyl.rotate(120, v=vector, center=methyl[0].position)
atoms += methyl

del atoms[7]
del atoms[3]
atoms.rotate(180, v=vector)
atoms.positions -= atoms[0].position

bl = np.linalg.norm(vector)
Ejemplo n.º 4
0
add_to_dict(atoms, 'water', 300)

# CO2

atoms = make_box_of_molecules(molecule('CO2'), 25, [20] * 3)
print(len(atoms))
add_to_dict(atoms, 'CO2', 70 + 273.15)

# Al

atoms = read('Al.xyz')
add_to_dict(atoms, 'Al', 10000)

# natural gas

CH4 = pubchem_atoms_search('methane')
C2H6 = pubchem_atoms_search('ethane')
C3H8 = pubchem_atoms_search('propane')

atoms = make_box_of_molecules([CH4, C2H6, C3H8], [18, 6, 6], [15] * 3)
add_to_dict(atoms, 'LNG', 273.15 - 162)

# Battery

with open('Li-ion_electrolyte_interface_318.txt', 'r') as f:
    txt = f.read()
    lattice = txt.split('lattice vectors (au):')[1]
    lattice, positions = txt.split('Atom types and positions (au):')

lattice = lattice.splitlines()[1:]
lattice = [[float(b) * Bohr for b in a.split()] for a in lattice]
Ejemplo n.º 5
0
struct = AseAtomsAdaptor.get_structure(atoms)
add_to_dict(struct)

atoms = molecule('HF')
for atom in atoms:
    if atom.symbol == 'F':
        atom.symbol = 'Br'

atoms.set_distance(0, 1, 1.43)
atoms.set_cell([10, 10, 10])
atoms.center()

struct = AseAtomsAdaptor.get_structure(atoms)
add_to_dict(struct)

atoms = pubchem_atoms_search(cid=807)  # I2

atoms.set_cell([10, 10, 10])
atoms.center()

struct = AseAtomsAdaptor.get_structure(atoms)
add_to_dict(struct, 'I2')

# nano-particles
import ase
from ase.cluster.cubic import FaceCenteredCubic

surfaces = [(1, 0, 0), (1, 1, 0), (1, 1, 1)]
layers = [3, 3, 3]
lc = 3.61000
atoms = FaceCenteredCubic('Cu',
Ejemplo n.º 6
0
from ase.data.pubchem import pubchem_search, pubchem_conformer_search
from ase.data.pubchem import pubchem_atoms_search
from ase.data.pubchem import pubchem_atoms_conformer_search

# check class functionality
data = pubchem_search('ammonia', mock_test=True)
atoms = data.get_atoms()
entry_data = data.get_pubchem_data()

# check the various entry styles and the functions that return atoms
atoms = pubchem_search(cid=241, mock_test=True).get_atoms()
atoms = pubchem_atoms_search(smiles='CCOH', mock_test=True)
atoms = pubchem_atoms_conformer_search('octane', mock_test=True)

# check conformer searching
confs = pubchem_conformer_search('octane', mock_test=True)
for conf in confs:
    pass
try:  # check that you can't pass in two args
    atoms = pubchem_search(name='octane', cid=222, mock_test=True)
    raise Exception('Test Failed')
except ValueError:
    pass

try:  # check that you must pass at least one arg
    atoms = pubchem_search(mock_test=True)
    raise Exception('Test Failed')
except ValueError:
    pass