# Source code for wulffpack.core.form

```
from typing import List, Dict, Union
import numpy as np
from .facet import Facet
from .geometry import (is_array_in_arrays,
where_is_array_in_arrays)
[docs]class Form():
"""
A `Form` object contains all facets that are equivalent by the
symmetry of the system under consideration. For a cubic system,
this means that the form with Miller indices {100} will contain
the facets with normals [100], [-100], [010] etc.
Parameters
----------
miller_indices
Miller indices for a representative member of the form.
energy
The surface energy per area for a facet in this form.
cell
The cell, with the basis vectors as columns.
symmetries
Symmetry elements of the system. If symmetry is broken
by, e.g., the presence of an interface, this list
should only contain the symmetries surviving.
parent_miller_indices
If symmetry is broken, it may still be of interest to
know what its form would be had not the symmetry been
broken. This attribute contains the Miller indices for
a representative of such a form.
"""
def __init__(self, miller_indices: tuple,
energy: float,
cell: np.ndarray,
symmetries: List[np.ndarray],
parent_miller_indices: tuple):
self.miller_indices = miller_indices
self.energy = energy
self.parent_miller_indices = parent_miller_indices
# Create all facets belonging to this form
self.facets = []
used_normals = []
reciprocal_cell = np.linalg.inv(cell).T
normal = np.dot(reciprocal_cell, self.miller_indices)
normal_scaled = np.linalg.solve(cell, normal)
for R in symmetries:
new_normal_scaled = np.dot(R, normal_scaled)
new_normal = np.dot(cell, new_normal_scaled)
array_index = where_is_array_in_arrays(new_normal, used_normals)
if array_index == -1:
# Then we found a new facet
self.facets.append(Facet(normal=tuple(new_normal),
energy=energy,
symmetry=R))
used_normals.append(new_normal)
else:
# If the facet was already there, save instead the
# symmetry operation that took us there
facet = self.facets[array_index]
assert np.allclose(facet.normal, new_normal / np.linalg.norm(new_normal))
facet.symmetries.append(R)
@property
def area(self) -> float:
"""Returns the total area of the facets in this form."""
return len(self.facets) * self.facets[0].area
@property
def surface_energy(self) -> float:
"""Returns the total surface energy of the facets in this form."""
return len(self.facets) * self.facets[0].surface_energy
@property
def volume(self) -> float:
"""
Returns the total volume formed by pyramids formed by each
facet and the origin.
"""
return len(self.facets) * self.facets[0].get_volume()
@property
def edge_length(self) -> float:
"""Returns the length of all facets in the form."""
return len(self.facets) * self.facets[0].perimeter_length
def setup_forms(surface_energies: Dict,
cell: np.ndarray,
symmetries_restricted: List[np.ndarray],
symmetries_full: List[np.ndarray],
twin_boundary: Union[List, tuple]=None,
interface: Union[List, tuple]=None) -> Dict:
"""
Create an adapted dictionary of surface energies based on
the symmetries specified.
This function is relevant for polycrystalline particles, the crystal
structure of which possess higher symmetry than the grains they are made
from. A decahedron, for example, is made of five FCC grains. FCC, being a
cubic crystal lattice, has 48 symmetry elements, but the grain is one of
five and has much fewer symmetry elements. This means that there are
multiple facets that would belong to the {111} form had not the symmetry
been broken. In the decahedral case, there are thus three inequivalent
families of facets that in the cubic case would all have been equivalent
facets belonging to the {111} form. These three families are, respectively,
the twin facets, the usually large facets "on top and underneath" the
particle as well as the re-entrance facets(the "notches"). All of these
will get their own key in the dictionary, describing a representative
member of the form.
Parameters
----------
surface_energies
keys are either tuples with three integers (describing a form in the
cubic case) or the string `'twin'`/`'interface'`, values are
corresponding surface energies
cell
the basis vectors as columns
symmetries_restricted
the matrices for the symmetry elements in the broken symmetry
symmetry_full
the matrices for the symmetry elements in the case of full symmetry
(for example the 48 symmetry elements of the m-3m point group)
twin_boundary: tuple
Miller index for a twin boundary if there is one
interface: tuple of three elements
Miller index for an interface(to a substrate for example)
Returns
-------
dictionary
keys are tuples describing the form(for each inequivalent form in the
broken symmetry case) with three integer, values are corresponding
surface energies
"""
reciprocal_cell = np.linalg.inv(cell).T
forms = []
if min(surface_energies.values()) < 0:
raise ValueError('Please use only positive '
'surface/twin/interface energies')
for form, energy in surface_energies.items():
inequivalent_normals_scaled = []
if form == 'twin':
if twin_boundary:
forms.append(Form(miller_indices=twin_boundary,
energy=energy / 2,
cell=cell,
symmetries=symmetries_restricted,
parent_miller_indices=form))
elif form == 'interface':
if interface:
forms.append(Form(miller_indices=interface,
energy=energy,
cell=cell,
symmetries=symmetries_restricted,
parent_miller_indices=form))
else:
if len(form) == 4:
miller_indices = convert_bravais_miller_to_miller(form)
else:
miller_indices = form
normal = np.dot(reciprocal_cell, miller_indices) # Cartesian coords
normal_scaled = np.linalg.solve(cell, normal) # scaled coords
for R_r in symmetries_full:
transformed_normal_scaled = np.dot(R_r, normal_scaled)
for R_f in symmetries_restricted:
if is_array_in_arrays(np.dot(R_f, transformed_normal_scaled),
inequivalent_normals_scaled):
break
else:
transformed_normal = np.dot(cell, transformed_normal_scaled)
miller = np.linalg.solve(reciprocal_cell, transformed_normal)
rounded_miller = np.round(miller)
assert np.allclose(miller, rounded_miller)
rounded_miller = tuple(int(i) for i in rounded_miller)
forms.append(Form(miller_indices=rounded_miller,
energy=energy,
cell=cell,
symmetries=symmetries_restricted,
parent_miller_indices=form))
inequivalent_normals_scaled.append(transformed_normal_scaled)
return forms
def convert_bravais_miller_to_miller(bravais_miller_indices: tuple) -> tuple:
"""
Returns the Miller indices(three integer tuple)
corresponding to Bravais-Miller indices(for integer
tuple).
Paramters
---------
bravais_miller_indices
Four integer tuple
"""
if sum(bravais_miller_indices[:3]) != 0:
raise ValueError('Invalid Bravais-Miller indices (h, k, i, l), '
'h + k + i != 0')
return tuple(bravais_miller_indices[i] for i in [0, 1, 3])
```