aiida_sssp_workflow.workflows.legacy_convergence.pressure¶
Convergence test on pressure of a given pseudopotential
Module Contents¶
Classes¶
WorkChain to converge test on pressure of input structure |
Functions¶
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Knowing the pressure P and the Birch-Murnaghan equation of state |
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doc |
Attributes¶
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aiida_sssp_workflow.workflows.legacy_convergence.pressure.UpfData¶
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aiida_sssp_workflow.workflows.legacy_convergence.pressure.helper_get_volume_from_pressure_birch_murnaghan(P, V0, B0, B1)¶ Knowing the pressure P and the Birch-Murnaghan equation of state parameters, gets the volume the closest to V0 (relatively) that is such that P_BirchMurnaghan(V)=P
retrun unit is (%)
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aiida_sssp_workflow.workflows.legacy_convergence.pressure.helper_pressure_difference(input_parameters: aiida.orm.Dict, ref_parameters: aiida.orm.Dict, V0: aiida.orm.Float, B0: aiida.orm.Float, B1: aiida.orm.Float) → aiida.orm.Dict¶ doc
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class
aiida_sssp_workflow.workflows.legacy_convergence.pressure.ConvergencePressureWorkChain(inputs: Optional[dict] = None, logger: Optional[logging.Logger] = None, runner: Optional[aiida.engine.runners.Runner] = None, enable_persistence: bool = True)¶ Bases:
aiida_sssp_workflow.workflows.legacy_convergence._base.BaseLegacyWorkChainWorkChain to converge test on pressure of input structure
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_EOS_SCALE_COUNT= 7¶
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_EOS_SCALE_INCREMENT= 0.02¶
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classmethod
define(cls, spec)¶ Define the specification of the process, including its inputs, outputs and known exit codes.
A metadata input namespace is defined, with optional ports that are not stored in the database.
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init_setup(self)¶ This step contains all preparation before actaul setup, e.g. set the context of element, base_structure, base pw_parameters and pseudos.
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extra_setup_for_rare_earth_element(self)¶ Extra setup for rare earth element
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extra_setup_for_fluorine_element(self)¶ Extra setup for fluorine element
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setup_code_parameters_from_protocol(self)¶ Input validation
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_get_inputs(self, ecutwfc, ecutrho)¶ get inputs for the evaluation CohesiveWorkChain by provide ecutwfc and ecutrho, all other parameters are fixed for the following steps
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run_reference(self)¶ run on reference calculation
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run_samples(self)¶ run on all other evaluation sample points
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get_result_metadata(self)¶ define a dict of which is the metadata of the results, e.g. the unit of the properties return a list type
for example:
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‘absolute_unit’: ‘eV/atom’, ‘relative_unit’: ‘%’,
}
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helper_compare_result_extract_fun(self, sample_node, reference_node, **kwargs)¶ implement
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results(self)¶ results
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