Source code for magnumnp.field_terms.external

#
# This file is part of the magnum.np distribution
# (https://gitlab.com/magnum.np/magnum.np).
# Copyright (c) 2023 magnum.np team.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, version 3.
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# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
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#

from magnumnp.common import timedmethod, constants
import torch

__all__ = ["ExternalField"]

[docs] class ExternalField(object): r""" External Field :param h: External Field :type h: list or tuple or :class:`Tensor` or function :Examples: .. code:: # homogenious, constant field external = ExternalField([Hx, 0, 0]) # homogenious, time-dependent field external = ExternalField(lambda state: [Hx*state.t, 0, 0]) # inhomogenious, constant field x, y, z = SpatialCoordinate(state) external = ExternalField(Expression([x,y,z])) """ def __init__(self, h = None): if h != None: self.__setattr__("h", h) @timedmethod def h(self, state): h = self._h(state) return state.convert_tensorfield(h) def __setattr__(self, name, value): if name == "h": if callable(value): self._h = value else: self._h = lambda state: value else: super().__setattr__(name, value) def E(self, state, domain = Ellipsis): E = - constants.mu_0 * state.material["Ms"] * state.m * self.h(state) * state.mesh.cell_volumes return E[domain].sum()