PhononSummaryData

class atomate2.common.schemas.qha.PhononSummaryData(*, nsites=None, elements=None, nelements=None, composition=None, composition_reduced=None, formula_pretty=None, formula_anonymous=None, chemsys=None, volume=None, density=None, density_atomic=None, symmetry=None, structure=None, supercell_matrix=None, total_dft_energy=None, volume_per_formula_unit=None, formula_units=None, has_imaginary_modes=None, temperatures=None, free_energies=None, heat_capacities=None, entropies=None, internal_energies=None)[source]

Bases: StructureMetadata

Save thermodynamic state variables at a series of temperatures.

Parameters:
  • nsites (int | None)

  • elements (list[Annotated[ElementTypeVar, BeforeValidator(func=~emmet.core.types.pymatgen_types.element_adapter.<lambda>, json_schema_input_type=PydanticUndefined), WrapSerializer(func=~emmet.core.types.pymatgen_types.element_adapter.<lambda>, return_type=str, when_used=always)]] | None)

  • nelements (int | None)

  • composition (Annotated[CompositionTypeVar, BeforeValidator(func=~emmet.core.types.pymatgen_types.composition_adapter.<lambda>, json_schema_input_type=PydanticUndefined), WrapSerializer(func=~emmet.core.types.pymatgen_types.composition_adapter.<lambda>, return_type=dict[str, float], when_used=always)] | None)

  • composition_reduced (Annotated[CompositionTypeVar, BeforeValidator(func=~emmet.core.types.pymatgen_types.composition_adapter.<lambda>, json_schema_input_type=PydanticUndefined), WrapSerializer(func=~emmet.core.types.pymatgen_types.composition_adapter.<lambda>, return_type=dict[str, float], when_used=always)] | None)

  • formula_pretty (str | None)

  • formula_anonymous (str | None)

  • chemsys (str | None)

  • volume (float | None)

  • density (float | None)

  • density_atomic (float | None)

  • symmetry (SymmetryData | None)

  • structure (Structure | None)

  • supercell_matrix (tuple[tuple[float, float, float], tuple[float, float, float], tuple[float, float, float]] | None)

  • total_dft_energy (float | None)

  • volume_per_formula_unit (float | None)

  • formula_units (int | None)

  • has_imaginary_modes (bool | None)

  • temperatures (list[float] | None)

  • free_energies (list[float] | None)

  • heat_capacities (list[float] | None)

  • entropies (list[float] | None)

  • internal_energies (list[float] | None)

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].