Beispiel #1
0
def pymatgen2pychemia(pmg_struct):
    """
    Converts a pymatgen structure object into a pychemia
    structure object

    :param pmg_struct: (pymatgen.Structure) Structure from pymatgen that will be converted
    :return:
    """

    # if not pmg_struct.is_ordered:
    #     return None

    cell = pmg_struct.lattice_vectors()
    reduced = np.array([])
    sites = []
    symbols = []
    occupancies = []
    index = 0
    for i in pmg_struct:
        for j in i.species_and_occu:
            symbols.append(j.symbol)
            occupancies.append(i.species_and_occu[j])
            sites.append(index)
        reduced = np.concatenate((reduced, i.frac_coords))
        index += 1

    reduced.reshape((-1, 3))
    return Structure(cell=cell,
                     reduced=reduced,
                     symbols=symbols,
                     sites=sites,
                     occupancies=occupancies)
Beispiel #2
0
def load(filep):
    """
    Read an V_sim .ascii file and returns a pychemia
    Structure object

    Args:
       filep: (string) Path to a .ascii file or an
             actual file-like object

    Returns:
       struct: (object) A pychemia Structure object
    """

    if isinstance(filep, str):
        f = open(filep)
    else:  # Assume it's a file-like object
        f = filep

    comment = f.readline()

    line = f.readline() + ' ' + f.readline()
    box = line.split()
    for i in range(len(box)):
        box[i] = float(box[i])

    keywords = []
    positions = []
    symbols = []

    re_comment = _re.compile('^\s*[#!]')
    re_node = _re.compile('^\s*\S+\s+\S+\s+\S+\s+\S+')

    while True:
        line = f.readline()

        if line == '':
            break  # EOF -> Exit

        p = re_comment.match(line)
        if p is not None:
            # remove comment character at the beginning of line
            line = line[p.end():].replace(',', ' ').lower()
            if line[:8] == "keyword:":
                keywords.extend(line[8:].split())

        elif re_node.match(line):
            unit = 1.0
            if not ("reduced" in keywords):
                if ("bohr" in keywords) or ("bohrd0" in keywords) or (
                        "atomic" in keywords) or ("atomicd0" in keywords):
                    unit = bohr_angstrom

            fields = line.split()
            positions.append([
                unit * float(fields[0]), unit * float(fields[1]),
                unit * float(fields[2])
            ])
            symbols.append(fields[3])

    f.close()

    if ("surface" in keywords) or ("freeBC" in keywords):
        raise NotImplementedError

    # create atoms object based on the information
    if "angdeg" in keywords:
        cell = cell.par_to_cell(box)
    else:
        unit = 1.0
        if ("bohr" in keywords) or ("bohrd0" in keywords) or (
                "atomic" in keywords) or ("atomicd0" in keywords):
            unit = bohr_angstrom
        cell = [[unit * box[0], 0.0, 0.0], [unit * box[1], unit * box[2], 0.0],
                [unit * box[3], unit * box[4], unit * box[5]]]

    if "reduced" in keywords:
        struct = Structure(cell=cell,
                           reduced=positions,
                           symbols=symbols,
                           name=comment)
    else:
        struct = Structure(cell=cell,
                           positions=positions,
                           symbols=symbols,
                           name=comment)

    return struct
Beispiel #3
0
    def get_structure(self, idtset=None, units='bohr'):
        """
        Return the atomic structure from the input object
        for a given dataset (no dataset by default)
        """
        # NATOM
        natom = self.get_value('natom', idtset)
        # SYMBOLS
        ntypat = self.get_value('ntypat', idtset)
        symbols = []
        znucl = self.get_value('znucl', idtset)
        typat = self.get_value('typat', idtset)
        for i in range(natom):
            # NOTE: znucl is a real number in OUT.nc
            # Alchemic mixing is not allow here
            if ntypat == 1:
                symbols.append(atomic_symbol(int(znucl)))
            else:
                symbols.append(atomic_symbol(int(znucl[typat[i] - 1])))

        # POSITIONS
        xangst = self.get_value('xangst', idtset)
        xcart = self.get_value('xcart', idtset)
        xred = self.get_value('xred', idtset)

        rprim = self.get_value('rprim', idtset)
        acell = np.array(self.get_value('acell', idtset))

        # Set rprimd and acell using the default values
        # if not found
        if rprim is None:
            rprim = np.identity(3)
        else:
            rprim = np.array(rprim).reshape((3, 3))
        if acell is None:
            acell = np.ones(3)

        rprimd = np.zeros((3, 3))
        rprimd[0] = rprim[0] * acell
        rprimd[1] = rprim[1] * acell
        rprimd[2] = rprim[2] * acell

        if xangst is not None:
            xangst = np.array(xangst)
            positions = xangst.reshape((natom, 3))
            if units == 'bohr':
                positions = positions * angstrom_bohr
        elif xcart is not None:
            xcart = np.array(xcart)
            positions = xcart.reshape((natom, 3))
            if units == 'angstrom':
                positions = positions * bohr_angstrom
        elif xred is not None:
            xred = np.array(xred)
            xred = xred.reshape((natom, 3))
            xcart = np.zeros((natom, 3))

            # print rprimd
            # print xred

            for i in range(natom):
                xcart[i] = xred[i, 0] * rprimd[0] + xred[i, 1] * rprimd[1] + xred[i, 2] * rprimd[2]

            positions = xcart
            if units == 'angstrom':
                positions = positions * bohr_angstrom

        else:
            positions = None

        if units == 'angstrom':
            rprimd = rprimd * bohr_angstrom

        # Create an object atomic_structure
        structure = Structure(natom=natom, symbols=symbols, positions=positions, cell=rprimd)

        return structure