atomistics.workflows.evcurve.debye.get_debye_model#
- atomistics.workflows.evcurve.debye.get_debye_model(fit_dict: dict[str, float], masses: list[float], num_steps: int = 50) DebyeModel[source]#
Create a DebyeModel object with the given parameters.
- Parameters:
fit_dict (Dict[str, float]) – A dictionary containing the fit parameters.
masses (List[float]) – A list of masses for the atoms in the system.
num_steps (int, optional) – The number of steps to use in the Debye model. Defaults to 50.
- Returns:
A DebyeModel object initialized with the given parameters.
- Return type: