示例#1
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    def subgroup(self, H=None, eps=0.05, idx=None, once=False):
        """
        generate a structure with lower symmetry

        Args:
            H: space group number (int)
            eps: pertubation term (float)
            idx: list
            once: generate only one structure, otherwise output all

        Returns:
            a list of pyxtal structures with lower symmetries
        """

        #randomly choose a subgroup from the available list
        Hs = self.group.get_max_t_subgroup()['subgroup']
        if idx is None:
            idx = range(len(Hs))
        else:
            for id in idx:
                if id >= len(Hs):
                    raise ValueError(
                        "The idx exceeds the number of possible splits")

        if H is not None:
            idx = [id for id in idx if Hs[idx] == H]

        if len(idx) == 0:
            raise ValueError("The space group H is incompatible with idx")

        sites = [
            str(site.wp.multiplicity) + site.wp.letter
            for site in self.atom_sites
        ]
        valid_splitters = []
        bad_splitters = []
        for id in idx:
            splitter = wyckoff_split(G=self.group.number, wp1=sites, idx=id)
            if splitter.valid_split:
                valid_splitters.append(splitter)
            else:
                bad_splitters.append(splitter)

        if len(valid_splitters) == 0:
            # do one more step
            new_strucs = []
            for splitter in bad_splitters:
                trail_struc = self.subgroup_by_splitter(splitter)
                new_strucs.append(trail_struc.subgroup(once=True))
            return new_strucs
        else:
            if once:
                return self.subgroup_by_splitter(choice(valid_splitters),
                                                 eps=eps)
            else:
                new_strucs = []
                for splitter in valid_splitters:
                    new_strucs.append(
                        self.subgroup_by_splitter(splitter, eps=eps))
            return new_strucs
示例#2
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    def get_displacement(self, G, split_id, solution, d_tol):
        """
        For a given solution, search for the possbile supergroup structure

        Args:
            G: group object
            split_id (int): integer
            solution (list): e.g., [['2d'], ['6h'], ['2c', '6h', '12i']]
            d_tol (float): tolerance

        Returns:
            mae: mean absolute atomic displcement
            disp: overall cell translation
        """
        sites_G = []
        elements = []
        muls = []
        for i, e in enumerate(self.elements):
            sites_G.extend(solution[i])
            elements.extend([e]*len(solution[i]))
            muls.extend([int(sol[:-1]) for sol in solution[i]])

        # resort the sites_G by multiplicity
        ids = np.argsort(np.array(muls))
        elements = [elements[id] for id in ids]
        sites_G = [sites_G[id] for id in ids]
        #print(G, self.struc.group.number, sites_G)
        splitter = wyckoff_split(G, split_id, sites_G, self.group_type, elements)
        mappings = find_mapping(self.struc.atom_sites, splitter)
        dists = []
        disps = []
        masks = []
        if len(mappings) > 0:
            for mapping in mappings:
                dist, disp, mask = self.symmetrize_dist(splitter, mapping, None, None, d_tol)
                dists.append(dist)
                disps.append(disp)
                masks.append(mask)
            dists = np.array(dists)
            mae = np.min(dists)
            id = np.argmin(dists)
            disp = disps[id]
            mask = masks[id]
            if 0.2 < mae < d_tol:
                # optimize disp further
                if mask is None or len(mask)<3:
                    def fun(disp, mapping, splitter, mask):
                        return self.symmetrize_dist(splitter, mapping, disp, mask)[0]
                    res = minimize(fun, disps[id], args=(mappings[id], splitter, mask),
                            method='Nelder-Mead', options={'maxiter': 10})
                    if res.fun < mae:
                        mae = res.fun
                        disp = res.x
            return mae, disp, mappings[id], splitter
        else:
            print("bug in findding the mappings", solution)
            print(splitter.G.number, '->', splitter.H.number)

            return 1000, None, None, None
示例#3
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    def get_displacement(self, G, split_id, solution, d_tol):
        """
        For a given solution, search for the possbile supergroup structure

        Args: 
            G: supergroup number 
            split_id: integer
            solution: e.g., [['2d'], ['6h'], ['2c', '6h', '12i']]
            d_tol: 
        Returns:
            mae: mean absolute atomic displcement
            disp: overall cell translation
        """
        sites_G = []
        elements = []
        muls = []
        for i, e in enumerate(self.elements):
            sites_G.extend(solution[i])
            elements.extend([e] * len(solution[i]))
            muls.extend([int(sol[:-1]) for sol in solution[i]])

        # resort the sites_G by multiplicity
        ids = np.argsort(np.array(muls))
        elements = [elements[id] for id in ids]
        sites_G = [sites_G[id] for id in ids]
        #print(G, self.struc.group.number, sites_G)
        splitter = wyckoff_split(G, split_id, sites_G, self.group_type,
                                 elements)
        mappings = self.find_mapping(splitter)
        dists = []
        disps = []
        for mapping in mappings:
            #disp = None #np.array([0.0, 0.0, 0.222222])
            dist, disp, mask = self.symmetrize_dist(splitter, mapping, None,
                                                    None, d_tol)
            dists.append(dist)
            disps.append(disp)
        dists = np.array(dists)
        mae = np.min(dists)
        id = np.argmin(dists)
        disp = disps[id]
        if (mae > 0.2) and (mae < d_tol):
            # optimize further
            def fun(disp, mapping, splitter, mask):
                return self.symmetrize_dist(splitter, mapping, disp, mask)[0]

            res = minimize(fun,
                           disps[id],
                           args=(mappings[id], splitter, mask),
                           method='Nelder-Mead',
                           options={'maxiter': 20})
            if res.fun < mae:
                mae = res.fun
                disp = res.x
        return mae, disp, mappings[id], splitter
示例#4
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    def subgroup(self,
                 H=None,
                 eps=0.05,
                 idx=None,
                 once=False,
                 group_type='t',
                 max_index=4):
        """
        generate a structure with lower symmetry

        Args:
            H: space group number (int)
            eps: pertubation term (float)
            idx: list
            once: generate only one structure, otherwise output all

        Returns:
            a list of pyxtal structures with lower symmetries
        """

        #randomly choose a subgroup from the available list
        if group_type == 't':
            dicts = self.group.get_max_t_subgroup()  #['subgroup']
        else:
            dicts = self.group.get_max_k_subgroup()  #['subgroup']
        Hs = dicts['subgroup']
        indices = dicts['index']
        if idx is None:
            idx = [i for i, id in enumerate(indices) if id <= max_index]
            #idx = range(len(Hs))
        else:
            for id in idx:
                if id >= len(Hs):
                    raise ValueError(
                        "The idx exceeds the number of possible splits")
        if H is not None:
            idx = [id for id in idx if Hs[id] == H]

        if len(idx) == 0:
            raise RuntimeError("No subgroup to perform the split")
        if self.molecular:
            struc_sites = self.mol_sites
        else:
            struc_sites = self.atom_sites

        sites = [
            str(site.wp.multiplicity) + site.wp.letter for site in struc_sites
        ]
        valid_splitters = []
        bad_splitters = []
        for id in idx:
            splitter = wyckoff_split(G=self.group.number,
                                     wp1=sites,
                                     idx=id,
                                     group_type=group_type)
            if splitter.valid_split:
                valid_splitters.append(splitter)
            else:
                bad_splitters.append(splitter)

        if len(valid_splitters) == 0:
            # do one more step
            new_strucs = []
            for splitter in bad_splitters:
                trail_struc = self.subgroup_by_splitter(splitter)
                new_strucs.append(
                    trail_struc.subgroup(once=True, group_type=group_type))
            return new_strucs
        else:
            if once:
                return self.subgroup_by_splitter(choice(valid_splitters),
                                                 eps=eps)
            else:
                new_strucs = []
                for splitter in valid_splitters:
                    new_strucs.append(
                        self.subgroup_by_splitter(splitter, eps=eps))
            return new_strucs
示例#5
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    def subgroup_once(self, eps=0.1, H=None, permutations=None, group_type='t', max_cell=4, mut_lat=True):
        """
        generate a structure with lower symmetry (for atomic crystals only)

        Args:
            permutations: e.g., {"Si": "C"}
            H: space group number (int)
            idx: list
            group_type: `t` or `k`
            max_cell: maximum cell reconstruction (float)

        Returns:
            a list of pyxtal structures with lower symmetries
        """
        idx, sites, t_types, k_types = self._get_subgroup_ids(H, group_type, None, max_cell)

        # Try 100 times to see if a valid split can be found
        count = 0
        while count < 100:
            id = choice(idx)
            gtype = (t_types+k_types)[id]
            if gtype == 'k':
                id -= len(t_types)
            #print(self.group.number, sites, id, gtype)
            splitter = wyckoff_split(G=self.group.number, wp1=sites, idx=id, group_type=gtype)
            if not splitter.error:
                if permutations is not None:
                    if len(splitter.H_orbits) == 1:
                        if len(splitter.H_orbits[0]) > 1:
                            return self._apply_substitution(splitter, permutations)
                        else:
                            #print("try to find the next subgroup")
                            trail_struc = self._subgroup_by_splitter(splitter, eps=eps, mut_lat=mut_lat)
                            multiple = sum(trail_struc.numIons)/sum(self.numIons)
                            max_cell = max([1, max_cell/multiple])
                            ans = trail_struc.subgroup_once(eps, H, permutations, group_type, max_cell)
                            if ans.group.number > 1:
                                return ans
                    else:
                        return self._apply_substitution(splitter, permutations)
                else:
                    if splitter.valid_split:
                        special = False
                        if self.molecular:
                            for i in range(len(self.mol_sites)):
                                for ops in splitter.H_orbits[i]:
                                    if len(ops) < len(splitter.H[0]):
                                        special = True
                                        break
                        if not special:
                            return self._subgroup_by_splitter(splitter, eps=eps, mut_lat=mut_lat)
                    else:
                        #print("try to find the next subgroup")
                        trail_struc = self._subgroup_by_splitter(splitter, eps=eps, mut_lat=mut_lat)
                        multiple = sum(trail_struc.numIons)/sum(self.numIons)
                        max_cell = max([1, max_cell/multiple])
                        ans = trail_struc.subgroup_once(eps, H, None, group_type, max_cell)
                        if ans.group.number > 1:
                            return ans
            count += 1
        raise RuntimeError("Cannot find the splitter")
示例#6
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    def subgroup(self, permutations=None, H=None, eps=0.05, idx=None, group_type='t', max_cell=4):
        """
        generate a structure with lower symmetry

        Args:
            permutations: e.g., {"Si": "C"}
            H: space group number (int)
            eps: pertubation term (float)
            idx: list
            group_type: `t`, `k` or `t+k`
            max_cell: maximum cell reconstruction (float)

        Returns:
            a list of pyxtal structures with lower symmetries
        """

        #randomly choose a subgroup from the available list
        idx, sites, t_types, k_types = self._get_subgroup_ids(H, group_type, idx, max_cell)

        valid_splitters = []
        bad_splitters = []
        for id in idx:
            gtype = (t_types+k_types)[id]
            if gtype == 'k':
                id -= len(t_types)
            splitter = wyckoff_split(G=self.group.number, wp1=sites, idx=id, group_type=gtype)

            if not splitter.error:
                if permutations is None:
                    if splitter.valid_split:
                        special = False
                        if self.molecular:
                            for i in range(len(self.mol_sites)):
                                for ops in splitter.H_orbits[i]:
                                    if len(ops) < len(splitter.H[0]):
                                        special = True
                                        break
                        if not special:
                            valid_splitters.append(splitter)
                        else:
                            bad_splitters.append(splitter)
                    else:
                        bad_splitters.append(splitter)
                else:
                    # apply permuation
                    if len(splitter.H_orbits) == 1:
                        if len(splitter.H_orbits[0]) > 1:
                            valid_splitters.append(splitter)
                        else:
                            bad_splitters.append(splitter)
                    else:
                        valid_splitters.append(splitter)

        if len(valid_splitters) == 0:
            #print("try do one more step")
            new_strucs = []
            for splitter in bad_splitters:
                trail_struc = self._subgroup_by_splitter(splitter, eps=eps)
                new_strucs.extend(trail_struc.subgroup(permutations, group_type=group_type))
            return new_strucs
        else:
            #print(len(valid_splitters), "valid_splitters are present")
            new_strucs = []
            for splitter in valid_splitters:
                if permutations is None:
                    new_struc = self._subgroup_by_splitter(splitter, eps=eps)
                else:
                    new_struc = self._apply_substitution(splitter, permutations)
                new_strucs.append(new_struc)
            return new_strucs