Beispiel #1
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    def get_azimuth_elev(self, miller_index):
        """
        :param miller_index: viewing direction
        :return: azim, elev for plotting
        """

        cart = self.latt.get_cartesian_coords(miller_index)
        azim = get_angle([cart[0], cart[1], 0], (1, 0, 0))
        v = [cart[0], cart[1], 0]
        elev = get_angle(cart, v)
        if miller_index == (0, 0, 1) or miller_index == (0, 0, 0, 1):
            return 0, 90
        else:
            return azim, elev
Beispiel #2
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    def _get_azimuth_elev(self, miller_index):
        """
        Args:
            miller_index: viewing direction

        Returns:
            azim, elev for plotting
        """
        if miller_index == (0, 0, 1) or miller_index == (0, 0, 0, 1):
            return 0, 90
        else:
            cart = self.lattice.get_cartesian_coords(miller_index)
            azim = get_angle([cart[0], cart[1], 0], (1, 0, 0))
            v = [cart[0], cart[1], 0]
            elev = get_angle(cart, v)
            return azim, elev
Beispiel #3
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    def _get_azimuth_elev(self, miller_index):
        """
        Args:
            miller_index: viewing direction

        Returns:
            azim, elev for plotting
        """
        if miller_index == (0, 0, 1) or miller_index == (0, 0, 0, 1):
            return 0, 90
        else:
            cart = self.lattice.get_cartesian_coords(miller_index)
            azim = get_angle([cart[0], cart[1], 0], (1, 0, 0))
            v = [cart[0], cart[1], 0]
            elev = get_angle(cart, v)
            return azim, elev
    def get_angle(self, s_index, i, j, k):
        """
        Returns **Minimum Image** angle specified by three sites.

        Args:
            s_index: Structure index in structures list
            i (int): Index of first site.
            j (int): Index of second site.
            k (int): Index of third site.

        Returns:
            (float) Angle in degrees.
        """
        structure = self.structures[s_index]
        lat_vec = np.array([structure.lattice.a, structure.lattice.b, structure.lattice.c])

        v1 = structure[i].coords - structure[j].coords
        v2 = structure[k].coords - structure[j].coords

        for v in range(3):
            if np.fabs(v1[v])>lat_vec[v]/2.0:
                v1[v] -= np.sign(v1[v])*lat_vec[v]
            if np.fabs(v2[v])>lat_vec[v]/2.0:
                v2[v] -= np.sign(v2[v])*lat_vec[v]
        return get_angle(v1, v2, units="degrees")
Beispiel #5
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    def _align_monomer(self, monomer, mon_vector, move_direction):
        """
        rotate the monomer so that it is aligned along the move direction

        Args:
            monomer (Molecule)
            mon_vector (numpy.array): molecule vector that starts from the
                start atom index to the end atom index
            move_direction (numpy.array): the direction of the polymer chain
                extension
        """
        axis = np.cross(mon_vector, move_direction)
        origin = monomer[self.start].coords
        angle = get_angle(mon_vector, move_direction)
        op = SymmOp.from_origin_axis_angle(origin, axis, angle)
        monomer.apply_operation(op)
Beispiel #6
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def MOMangles(structure,Bsite):
# This function takes a pymatgen structure and perovskite Bsite and returns a list of the MOM angles
    angles = []
    site_angles = []
    # determine Bsite indexes
    for site in structure.sites:
        if Bsite in str(site):
            neighbors = structure.get_neighbors(site, r = 5, include_index=True)
            Oneighbors = structure.get_neighbors(site, r = 4, include_index=True)
            for neighbor in neighbors:
                if Bsite in str(neighbor[0]):
                    for Osite in Oneighbors:
                        if 'O' in str(Osite[0]):
                            # calculate angle between sites
                            angle = coord_utils.get_angle(site.coords-Osite[0].coords, 
                                             neighbor[0].coords-Osite[0].coords, units="degrees")
                            site_angles.append(angle)

                    angles.append(max(site_angles))
                    site_angles = []
    return angles
Beispiel #7
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 def cover_surface(self, site_indices):
     """
     puts the ligand molecule on the given list of site indices
     """
     num_atoms = len(self.ligand)
     normal = self.normal
     # get a vector that points from one atom in the botton plane
     # to one atom on the top plane. This is required to make sure
     # that the surface normal points outwards from the surface on
     #  to which we want to adsorb the ligand
     vec_vac = self.cart_coords[self.top_atoms[0]] - \
         self.cart_coords[self.bottom_atoms[0]]
     # mov_vec = the vector along which the ligand will be displaced
     mov_vec = normal * self.displacement
     angle = get_angle(vec_vac, self.normal)
     # flip the orientation of normal if it is not pointing in
     # the right direction.
     if (angle > 90):
         normal_frac = self.lattice.get_fractional_coords(normal)
         normal_frac[2] = -normal_frac[2]
         normal = self.lattice.get_cartesian_coords(normal_frac)
         mov_vec = normal * self.displacement
     # get the index corresponding to the given atomic species in
     # the ligand that will bond with the surface on which the
     # ligand will be adsorbed
     adatom_index = self.get_index(self.adatom_on_lig)
     adsorbed_ligands_coords = []
     # set the ligand coordinates for each adsorption site on
     # the surface
     for sindex in site_indices:
         # align the ligand wrt the site on the surface to which
         # it will be adsorbed
         origin = self.cart_coords[sindex]
         self.ligand.translate_sites(
             list(range(num_atoms)),
             origin - self.ligand[adatom_index].coords)
         # displace the ligand by the given amount in the direction
         # normal to surface
         self.ligand.translate_sites(list(range(num_atoms)), mov_vec)
         # vector pointing from the adatom_on_lig to the
         # ligand center of mass
         vec_adatom_cm = self.ligand.center_of_mass - \
             self.ligand[adatom_index].coords
         # rotate the ligand with respect to a vector that is
         # normal to the vec_adatom_cm and the normal to the surface
         # so that the ligand center of mass is aligned along the
         # outward normal to the surface
         origin = self.ligand[adatom_index].coords
         angle = get_angle(vec_adatom_cm, normal)
         if 1 < abs(angle % 180) < 179:
             # For angles which are not 0 or 180,
             # perform a rotation about the origin along an axis
             # perpendicular to both bonds to align bonds.
             axis = np.cross(vec_adatom_cm, normal)
             op = SymmOp.from_origin_axis_angle(origin, axis, angle)
             self.ligand.apply_operation(op)
         elif abs(abs(angle) - 180) < 1:
             # We have a 180 degree angle.
             # Simply do an inversion about the origin
             for i in range(len(self.ligand)):
                 self.ligand[i] = (self.ligand[i].species_and_occu, origin -
                                   (self.ligand[i].coords - origin))
         # x - y - shifts
         x = self.x_shift
         y = self.y_shift
         rot = self.rot
         if x:
             self.ligand.translate_sites(list(range(num_atoms)),
                                         np.array([x, 0, 0]))
         if y:
             self.ligand.translate_sites(list(range(num_atoms)),
                                         np.array([0, y, 0]))
         if rot:
             self.ligand.apply_operation(
                 SymmOp.from_axis_angle_and_translation(
                     (1, 0, 0),
                     rot[0],
                     angle_in_radians=False,
                     translation_vec=(0, 0, 0)))
             self.ligand.apply_operation(
                 SymmOp.from_axis_angle_and_translation(
                     (0, 1, 0),
                     rot[1],
                     angle_in_radians=False,
                     translation_vec=(0, 0, 0)))
             self.ligand.apply_operation(
                 SymmOp.from_axis_angle_and_translation(
                     (0, 0, 1),
                     rot[2],
                     angle_in_radians=False,
                     translation_vec=(0, 0, 0)))
         # 3d numpy array
         adsorbed_ligands_coords.append(self.ligand.cart_coords)
         # extend the slab structure with the adsorbant atoms
     adsorbed_ligands_coords = np.array(adsorbed_ligands_coords)
     for j in range(len(site_indices)):
         [
             self.append(self.ligand.species_and_occu[i],
                         adsorbed_ligands_coords[j, i, :],
                         coords_are_cartesian=True)
             for i in range(num_atoms)
         ]
Beispiel #8
0
    def parse_coords(coord_lines):
        """
        Helper method to parse coordinates.
        """
        paras = {}
        var_pattern = re.compile("^([A-Za-z]+\S*)[\s=,]+([\d\-\.]+)$")
        for l in coord_lines:
            m = var_pattern.match(l.strip())
            if m:
                paras[m.group(1)] = float(m.group(2))

        species = []
        coords = []
        # Stores whether a Zmatrix format is detected. Once a zmatrix format
        # is detected, it is assumed for the remaining of the parsing.
        zmode = False
        for l in coord_lines:
            l = l.strip()
            if not l:
                break
            if (not zmode) and GaussianInput.xyz_patt.match(l):
                m = GaussianInput.xyz_patt.match(l)
                species.append(m.group(1))
                toks = re.split("[,\s]+", l.strip())
                if len(toks) > 4:
                    coords.append([float(i) for i in toks[2:5]])
                else:
                    coords.append([float(i) for i in toks[1:4]])
            elif GaussianInput.zmat_patt.match(l):
                zmode = True
                toks = re.split("[,\s]+", l.strip())
                species.append(toks[0])
                toks.pop(0)
                if len(toks) == 0:
                    coords.append(np.array([0, 0, 0]))
                else:
                    nn = []
                    parameters = []
                    while len(toks) > 1:
                        ind = toks.pop(0)
                        data = toks.pop(0)
                        try:
                            nn.append(int(ind))
                        except ValueError:
                            nn.append(species.index(ind) + 1)
                        try:
                            val = float(data)
                            parameters.append(val)
                        except ValueError:
                            if data.startswith("-"):
                                parameters.append(-paras[data[1:]])
                            else:
                                parameters.append(paras[data])
                    if len(nn) == 1:
                        coords.append(np.array([0, 0, parameters[0]]))
                    elif len(nn) == 2:
                        coords1 = coords[nn[0] - 1]
                        coords2 = coords[nn[1] - 1]
                        bl = parameters[0]
                        angle = parameters[1]
                        axis = [0, 1, 0]
                        op = SymmOp.from_origin_axis_angle(
                            coords1, axis, angle, False)
                        coord = op.operate(coords2)
                        vec = coord - coords1
                        coord = vec * bl / np.linalg.norm(vec) + coords1
                        coords.append(coord)
                    elif len(nn) == 3:
                        coords1 = coords[nn[0] - 1]
                        coords2 = coords[nn[1] - 1]
                        coords3 = coords[nn[2] - 1]
                        bl = parameters[0]
                        angle = parameters[1]
                        dih = parameters[2]
                        v1 = coords3 - coords2
                        v2 = coords1 - coords2
                        axis = np.cross(v1, v2)
                        op = SymmOp.from_origin_axis_angle(
                            coords1, axis, angle, False)
                        coord = op.operate(coords2)
                        v1 = coord - coords1
                        v2 = coords1 - coords2
                        v3 = np.cross(v1, v2)
                        adj = get_angle(v3, axis)
                        axis = coords1 - coords2
                        op = SymmOp.from_origin_axis_angle(
                            coords1, axis, dih - adj, False)
                        coord = op.operate(coord)
                        vec = coord - coords1
                        coord = vec * bl / np.linalg.norm(vec) + coords1
                        coords.append(coord)

        def parse_species(sp_str):
            """
            The species specification can take many forms. E.g.,
            simple integers representing atomic numbers ("8"),
            actual species string ("C") or a labelled species ("C1").
            Sometimes, the species string is also not properly capitalized,
            e.g, ("c1"). This method should take care of these known formats.
            """
            try:
                return int(sp_str)
            except ValueError:
                sp = re.sub("\d", "", sp_str)
                return sp.capitalize()

        species = [parse_species(sp) for sp in species]

        return Molecule(species, coords)
Beispiel #9
0
 def cover_surface(self, site_indices):
     """
     puts the ligand molecule on the given list of site indices
     """
     num_atoms = len(self.ligand)
     normal = self.normal
     # get a vector that points from one atom in the botton plane
     # to one atom on the top plane. This is required to make sure
     # that the surface normal points outwards from the surface on
     #  to which we want to adsorb the ligand
     vec_vac = self.cart_coords[self.top_atoms[0]] - \
               self.cart_coords[self.bottom_atoms[0]]
     # mov_vec = the vector along which the ligand will be displaced
     mov_vec = normal * self.displacement
     angle = get_angle(vec_vac, self.normal)
     # flip the orientation of normal if it is not pointing in
     # the right direction.
     if (angle > 90):
         normal_frac = self.lattice.get_fractional_coords(normal)
         normal_frac[2] = -normal_frac[2]
         normal = self.lattice.get_cartesian_coords(normal_frac)
         mov_vec = normal * self.displacement
     # get the index corresponding to the given atomic species in
     # the ligand that will bond with the surface on which the
     # ligand will be adsorbed
     adatom_index = self.get_index(self.adatom_on_lig)
     adsorbed_ligands_coords = []
     # set the ligand coordinates for each adsorption site on
     # the surface
     for sindex in site_indices:
         # align the ligand wrt the site on the surface to which
         # it will be adsorbed
         origin = self.cart_coords[sindex]
         self.ligand.translate_sites(list(range(num_atoms)),
                                     origin - self.ligand[
                                         adatom_index].coords)
         # displace the ligand by the given amount in the direction
         # normal to surface
         self.ligand.translate_sites(list(range(num_atoms)), mov_vec)
         # vector pointing from the adatom_on_lig to the
         # ligand center of mass
         vec_adatom_cm = self.ligand.center_of_mass - \
                         self.ligand[adatom_index].coords
         # rotate the ligand with respect to a vector that is
         # normal to the vec_adatom_cm and the normal to the surface
         # so that the ligand center of mass is aligned along the
         # outward normal to the surface
         origin = self.ligand[adatom_index].coords
         angle = get_angle(vec_adatom_cm, normal)
         if 1 < abs(angle % 180) < 179:
             # For angles which are not 0 or 180,
             # perform a rotation about the origin along an axis
             # perpendicular to both bonds to align bonds.
             axis = np.cross(vec_adatom_cm, normal)
             op = SymmOp.from_origin_axis_angle(origin, axis, angle)
             self.ligand.apply_operation(op)
         elif abs(abs(angle) - 180) < 1:
             # We have a 180 degree angle.
             # Simply do an inversion about the origin
             for i in range(len(self.ligand)):
                 self.ligand[i] = (self.ligand[i].species_and_occu,
                                   origin - (
                                       self.ligand[i].coords - origin))
         # x - y - shifts
         x = self.x_shift
         y = self.y_shift
         rot = self.rot
         if x:
             self.ligand.translate_sites(list(range(num_atoms)),
                                         np.array([x, 0, 0]))
         if y:
             self.ligand.translate_sites(list(range(num_atoms)),
                                         np.array([0, y, 0]))
         if rot:
             self.ligand.apply_operation(
                 SymmOp.from_axis_angle_and_translation(
                     (1, 0, 0), rot[0], angle_in_radians=False,
                     translation_vec=(0, 0, 0)))
             self.ligand.apply_operation(
                 SymmOp.from_axis_angle_and_translation(
                     (0, 1, 0), rot[1], angle_in_radians=False,
                     translation_vec=(0, 0, 0)))
             self.ligand.apply_operation(
                 SymmOp.from_axis_angle_and_translation(
                     (0, 0, 1), rot[2], angle_in_radians=False,
                     translation_vec=(0, 0, 0)))
         # 3d numpy array
         adsorbed_ligands_coords.append(self.ligand.cart_coords)
         # extend the slab structure with the adsorbant atoms
     adsorbed_ligands_coords = np.array(adsorbed_ligands_coords)
     for j in range(len(site_indices)):
         [self.append(self.ligand.species_and_occu[i],
                      adsorbed_ligands_coords[j, i, :],
                      coords_are_cartesian=True)
          for i in range(num_atoms)]
Beispiel #10
0
    def parse_coords(coord_lines):
        """
        Helper method to parse coordinates.
        """
        paras = {}
        var_pattern = re.compile("^([A-Za-z]+\S*)[\s=,]+([\d\-\.]+)$")
        for l in coord_lines:
            m = var_pattern.match(l.strip())
            if m:
                paras[m.group(1)] = float(m.group(2))

        species = []
        coords = []
        # Stores whether a Zmatrix format is detected. Once a zmatrix format
        # is detected, it is assumed for the remaining of the parsing.
        zmode = False
        for l in coord_lines:
            l = l.strip()
            if not l:
                break
            if (not zmode) and GaussianInput.xyz_patt.match(l):
                m = GaussianInput.xyz_patt.match(l)
                species.append(m.group(1))
                toks = re.split("[,\s]+", l.strip())
                if len(toks) > 4:
                    coords.append(map(float, toks[2:5]))
                else:
                    coords.append(map(float, toks[1:4]))
            elif GaussianInput.zmat_patt.match(l):
                zmode = True
                toks = re.split("[,\s]+", l.strip())
                species.append(toks[0])
                toks.pop(0)
                if len(toks) == 0:
                    coords.append(np.array([0, 0, 0]))
                else:
                    nn = []
                    parameters = []
                    while len(toks) > 1:
                        ind = toks.pop(0)
                        data = toks.pop(0)
                        try:
                            nn.append(int(ind))
                        except ValueError:
                            nn.append(species.index(ind) + 1)
                        try:
                            val = float(data)
                            parameters.append(val)
                        except ValueError:
                            if data.startswith("-"):
                                parameters.append(-paras[data[1:]])
                            else:
                                parameters.append(paras[data])
                    if len(nn) == 1:
                        coords.append(np.array([0, 0, parameters[0]]))
                    elif len(nn) == 2:
                        coords1 = coords[nn[0] - 1]
                        coords2 = coords[nn[1] - 1]
                        bl = parameters[0]
                        angle = parameters[1]
                        axis = [0, 1, 0]
                        op = SymmOp.from_origin_axis_angle(coords1, axis, angle, False)
                        coord = op.operate(coords2)
                        vec = coord - coords1
                        coord = vec * bl / np.linalg.norm(vec) + coords1
                        coords.append(coord)
                    elif len(nn) == 3:
                        coords1 = coords[nn[0] - 1]
                        coords2 = coords[nn[1] - 1]
                        coords3 = coords[nn[2] - 1]
                        bl = parameters[0]
                        angle = parameters[1]
                        dih = parameters[2]
                        v1 = coords3 - coords2
                        v2 = coords1 - coords2
                        axis = np.cross(v1, v2)
                        op = SymmOp.from_origin_axis_angle(coords1, axis, angle, False)
                        coord = op.operate(coords2)
                        v1 = coord - coords1
                        v2 = coords1 - coords2
                        v3 = np.cross(v1, v2)
                        adj = get_angle(v3, axis)
                        axis = coords1 - coords2
                        op = SymmOp.from_origin_axis_angle(coords1, axis, dih - adj, False)
                        coord = op.operate(coord)
                        vec = coord - coords1
                        coord = vec * bl / np.linalg.norm(vec) + coords1
                        coords.append(coord)

        def parse_species(sp_str):
            """
            The species specification can take many forms. E.g.,
            simple integers representing atomic numbers ("8"),
            actual species string ("C") or a labelled species ("C1").
            Sometimes, the species string is also not properly capitalized,
            e.g, ("c1"). This method should take care of these known formats.
            """
            try:
                return int(sp_str)
            except ValueError:
                sp = re.sub("\d", "", sp_str)
                return sp.capitalize()

        species = map(parse_species, species)

        return Molecule(species, coords)