Source code for pyiron_atomistics.atomistics.master.sqsmaster

# coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.

import numpy as np
from pyiron_base import JobGenerator

from pyiron_atomistics.atomistics.master.parallel import AtomisticParallelMaster

__author__ = "Jan Janssen"
__copyright__ = (
    "Copyright 2021, Max-Planck-Institut für Eisenforschung GmbH - "
    "Computational Materials Design (CM) Department"
)
__version__ = "0.0.1"
__maintainer__ = "Jan Janssen"
__email__ = "janssen@mpie.de"
__status__ = "development"
__date__ = "Oct 29, 2020"


[docs] class SQSMaster(AtomisticParallelMaster): """ Master job to compute SQS structures for a list of concentrations. The input keys "species_one", "species_two" and "fraction_lst" are combined into dictionaries that are then passed to the input "mole_fractions" as defined on :class:`.SQSJob` according to the pseudo code >>> for f in fraction_lst: ... {species_one: f, species_two: 1-f} The other options to :class:`.SQSJob` must be set on the reference job. """
[docs] def __init__(self, project, job_name): super(SQSMaster, self).__init__(project, job_name) self.__version__ = "0.0.1" self.input["fraction_lst"] = [] self.input["species_one"] = "" self.input["species_two"] = "" self._job_generator = SQSJobGenerator(self)
[docs] def collect_output(self): pass
@property def list_of_structures(self): """ list: `len(self.input["fraction_lst"])` with the top-scoring structure from each sub job """ return [ self.project_hdf5.load(job_id).list_of_structures[0] for job_id in self.child_ids ]
[docs] def list_structures(self): """ List of top-scoring structures from each sub job. Returns: list: value of :attribute:`.list_of_structures` """ return self.list_of_structures
[docs] class SQSJobGenerator(JobGenerator): @property def parameter_list(self): """ Returns: (list) """ return [ [ "sqs_" + str(np.round(f, 4)).replace(".", "_"), { self._master.input["species_one"]: f, self._master.input["species_two"]: 1 - f, }, ] for f in self._master.input["fraction_lst"] ]
[docs] @staticmethod def job_name(parameter): return parameter[0]
[docs] def modify_job(self, job, parameter): job.input["mole_fractions"] = parameter[1] return job