parameters.py 1.7 KB

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  1. from __future__ import annotations
  2. from dataclasses import dataclass
  3. import numpy as np
  4. import charged_shells.units_and_constants as uc
  5. Array = np.ndarray
  6. @dataclass(kw_only=True)
  7. class ModelParams:
  8. R: float | Array
  9. kappa: float | Array = None
  10. kappaR: float | Array = None
  11. c0: float | Array = None
  12. epsilon: float = 80
  13. temperature: float = 293
  14. def __post_init__(self):
  15. self.kappa, self.kappaR, self.c0 = screening_calculator(self.R, self.temperature, self.epsilon,
  16. self.kappa, self.kappaR, self.c0)
  17. def bjerrum(temp: float, epsilon: float) -> float:
  18. return uc.CONSTANTS.e0 ** 2 / (4 * np.pi * epsilon * uc.CONSTANTS.epsilon0 * uc.CONSTANTS.Boltzmann * temp)
  19. def kappa_from_concentration(c0: float, temp: float, epsilon: float) -> float:
  20. return np.sqrt(8 * np.pi * bjerrum(temp, epsilon) * c0)
  21. def concentration_from_kappa(kappa: float, temp: float, epsilon: float):
  22. # TODO: what is with the units of c0 calculated here?
  23. return kappa ** 2 / (8 * np.pi * bjerrum(temp, epsilon))
  24. def screening_calculator(radius: float, temp: float, epsilon: float,
  25. kappa: float = None, kappaR: float = None, c0: float = None) -> (float, float, float):
  26. if kappa is not None:
  27. return kappa, kappa * radius, concentration_from_kappa(kappa, temp, epsilon)
  28. elif kappaR is not None:
  29. return kappaR / radius, kappaR, concentration_from_kappa(kappaR / radius, temp, epsilon)
  30. elif c0 is not None:
  31. kappa = kappa_from_concentration(c0, temp, epsilon)
  32. return kappa, kappa * radius, c0
  33. raise ValueError('One of the arguments kappa, kappaR or c0 should be different from None.')