Source code for mchammer.calculators.cluster_expansion_calculator

from typing import List, Union

import numpy as np

from _icet import _ClusterExpansionCalculator
from icet.input_output.logging_tools import logger
from ase import Atoms
from icet import ClusterExpansion
from icet.core.structure import Structure
from icet.core.sublattices import Sublattices
from mchammer.calculators.base_calculator import BaseCalculator

[docs]class ClusterExpansionCalculator(BaseCalculator): """A ClusterExpansionCalculator object enables the efficient calculation of properties described by a cluster expansion. It is specific for a particular (supercell) structure and commonly employed when setting up a Monte Carlo simulation, see :ref:`ensembles`. Cluster expansions, e.g., of the energy, typically yield property values *per site*. When running a Monte Carlo simulation one, however, considers changes in the *total* energy of the system. The default behavior is therefore to multiply the output of the cluster expansion by the number of sites. This behavior can be changed via the ``scaling`` keyword parameter. Parameters ---------- structure : ase.Atoms structure for which to set up the calculator cluster_expansion : ClusterExpansion cluster expansion from which to build calculator name human-readable identifier for this calculator scaling scaling factor applied to the property value predicted by the cluster expansion use_local_energy_calculator evaluate energy changes using only the local environment; this method is generally *much* faster; unless you know what you are doing do *not* set this option to `False` """ def __init__(self, structure: Atoms, cluster_expansion: ClusterExpansion, name: str = 'Cluster Expansion Calculator', scaling: Union[float, int] = None, use_local_energy_calculator: bool = True) -> None: super().__init__(name=name) structure_cpy = structure.copy() cluster_expansion.prune() if cluster_expansion._cluster_space.is_supercell_self_interacting(structure): logger.warning('The ClusterExpansionCalculator self-interacts, ' 'which may lead to erroneous results. To avoid ' 'self-interaction, use a larger supercell or a ' 'cluster space with shorter cutoffs.') self.use_local_energy_calculator = use_local_energy_calculator if self.use_local_energy_calculator: self.cpp_calc = _ClusterExpansionCalculator( cluster_space=cluster_expansion.get_cluster_space_copy(), structure=Structure.from_atoms(structure_cpy), fractional_position_tolerance=cluster_expansion.fractional_position_tolerance) self._cluster_expansion = cluster_expansion if scaling is None: self._property_scaling = len(structure) else: self._property_scaling = scaling self._sublattices = self.cluster_expansion._cluster_space.get_sublattices(structure) @property def cluster_expansion(self) -> ClusterExpansion: """ cluster expansion from which calculator was constructed """ return self._cluster_expansion
[docs] def calculate_total(self, *, occupations: List[int]) -> float: """ Calculates and returns the total property value of the current configuration. Parameters ---------- occupations the entire occupation vector (i.e. list of atomic species) """ cv = self.cpp_calc.get_full_cluster_vector(occupations) return, self.cluster_expansion.parameters) * self._property_scaling
[docs] def calculate_change(self, *, sites: List[int], current_occupations: List[int], new_site_occupations: List[int]) -> float: """ Calculates and returns the sum of the contributions to the property due to the sites specified in `local_indices` Parameters ---------- sites index of sites at which occupations will be changed current_occupations entire occupation vector (atomic numbers) before change new_site_occupations atomic numbers after change at the sites defined by `sites` """ occupations = np.array(current_occupations) new_site_occupations = np.array(new_site_occupations) if not self.use_local_energy_calculator: e_before = self.calculate_total(occupations=occupations) occupations[sites] = np.array(new_site_occupations) e_after = self.calculate_total(occupations=occupations) return e_after - e_before local_contribution = 0 try: exclude_indices = [] # type: List[int] for index in sites: local_contribution -= self._calculate_local_contribution( occupations=occupations, index=index, exclude_indices=exclude_indices) exclude_indices.append(index) occupations[sites] = np.array(new_site_occupations) exclude_indices = [] # type: List[int] for index in sites: local_contribution += self._calculate_local_contribution( occupations=occupations, index=index, exclude_indices=exclude_indices) exclude_indices.append(index) except Exception as e: msg = 'Caught exception {}. Try setting parameter '.format(e) msg += 'use_local_energy_calculator to False in init' raise RuntimeError(msg) return local_contribution * self._property_scaling
def _calculate_local_contribution(self, occupations: List[int], index: int, exclude_indices: List[int] = []): """ Internal method to calculate the local contribution for one index. Parameters ---------- occupations entire occupation vector index : int lattice index exclude_indices previously calculated indices, these indices will be ignored in order to avoid double counting bonds """ local_cv = self.cpp_calc.get_local_cluster_vector( occupations, index, exclude_indices) return, self.cluster_expansion.parameters) @property def sublattices(self) -> Sublattices: """Sublattices of the calculators structure.""" return self._sublattices