#
# 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.
#
# 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.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
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()