# Source code for pde.pdes.allen_cahn

"""
A Allen-Cahn equation

.. codeauthor:: David Zwicker <david.zwicker@ds.mpg.de>
"""

from typing import Callable  # @UnusedImport

import numba as nb
import numpy as np

from ..fields import ScalarField
from ..grids.boundaries.axes import BoundariesData
from ..tools.docstrings import fill_in_docstring
from ..tools.numba import jit
from .base import PDEBase, expr_prod

[docs]class AllenCahnPDE(PDEBase):
r"""A simple Allen-Cahn equation

The mathematical definition is

.. math::
\partial_t c = \gamma \nabla^2 c - c^3 + c

where :math:c is a scalar field and :math:\gamma sets the interfacial
width.
"""

explicit_time_dependence = False

interface_width: float

@fill_in_docstring
def __init__(
self, interface_width: float = 1, bc: BoundariesData = "auto_periodic_neumann"
):
"""
Args:
interface_width (float):
The diffusivity of the described species
bc:
The boundary conditions applied to the field.
{ARG_BOUNDARIES}
"""
super().__init__()

self.interface_width = interface_width
self.bc = bc

@property
def expression(self) -> str:
"""str: the expression of the right hand side of this PDE"""
return f"{expr_prod(self.interface_width, 'laplace(c)')} - c**3 + c"

[docs]    def evolution_rate(  # type: ignore
self,
state: ScalarField,
t: float = 0,
) -> ScalarField:
"""evaluate the right hand side of the PDE

Args:
state (:class:~pde.fields.ScalarField):
The scalar field describing the concentration distribution
t (float): The current time point

Returns:
:class:~pde.fields.ScalarField:
Scalar field describing the evolution rate of the PDE
"""
assert isinstance(state, ScalarField), "state must be ScalarField"
laplace = state.laplace(bc=self.bc, label="evolution rate", args={"t": t})
return self.interface_width * laplace - state**3 + state  # type: ignore

def _make_pde_rhs_numba(  # type: ignore
self, state: ScalarField
) -> Callable[[np.ndarray, float], np.ndarray]:
"""create a compiled function evaluating the right hand side of the PDE

Args:
state (:class:~pde.fields.ScalarField):
An example for the state defining the grid and data types

Returns:
A function with signature (state_data, t), which can be called
with an instance of :class:~numpy.ndarray of the state data and
the time to obtained an instance of :class:~numpy.ndarray giving
the evolution rate.
"""
arr_type = nb.typeof(state.data)
signature = arr_type(arr_type, nb.double)

interface_width = self.interface_width
laplace = state.grid.make_operator("laplace", bc=self.bc)

@jit(signature)
def pde_rhs(state_data: np.ndarray, t: float) -> np.ndarray:
"""compiled helper function evaluating right hand side"""
return (  # type: ignore
interface_width * laplace(state_data, args={"t": t})
- state_data**3
+ state_data
)

return pde_rhs  # type: ignore