How to use the ovito.ObjectNode function in ovito

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github pyiron / pyiron / pyiron / atomistics / structure / ovito.py View on Github external
def analyse_ovito_cna_adaptive(atoms, mode='total'):
    """

    Args:
        atoms:
        mode:

    Returns:

    """
    s.publication_add(publication())
    if not mode in ['total', 'numeric', 'str']:
        raise ValueError('Unsupported mode')
    data = DataCollection.create_from_ase_atoms(atoms.copy())
    node = ObjectNode()
    node.source = data
    node.modifiers.append(CommonNeighborAnalysisModifier(mode=CommonNeighborAnalysisModifier.Mode.AdaptiveCutoff))
    output = node.compute()
    if mode == 'total':
        return output.attributes
    else:
        atoms_output = output.to_ase_atoms()
        if mode == 'numeric':
            return atoms_output.get_array("Structure Type")
        elif mode == 'str':
            cna_property = output.particle_properties.structure_type
            return np.array([cna_property.get_type_by_id(cnatype).name
                             for cnatype in atoms_output.get_array("Structure Type")])
github pyiron / pyiron / pyiron / atomistics / structure / ovito.py View on Github external
def analyse_ovito_centro_symmetry(atoms, num_neighbors=12):
    """

    Args:
        atoms:
        num_neighbors:

    Returns:

    """
    s.publication_add(publication())
    data = DataCollection.create_from_ase_atoms(atoms.copy())
    node = ObjectNode()
    node.source = data
    node.modifiers.append(CentroSymmetryModifier(num_neighbors = num_neighbors))
    output = node.compute()
    return output.particle_properties['Centrosymmetry'].array
github pyiron / pyiron / pyiron / atomistics / structure / ovito.py View on Github external
def analyse_ovito_voronoi_volume(atoms):
    """

    Args:
        atoms:

    Returns:

    """
    s.publication_add(publication())
    data = DataCollection.create_from_ase_atoms(atoms.copy())
    node = ObjectNode()
    node.source = data
    node.modifiers.append(VoronoiAnalysisModifier())
    output = node.compute()
    return output.particle_properties['Atomic Volume'].array