pymatgen.analysis.substrate_analyzer module

class SubstrateAnalyzer(zslgen=<pymatgen.analysis.substrate_analyzer.ZSLGenerator object>, film_max_miller=1, substrate_max_miller=1)

Bases: object

This class applies a set of search criteria to identify suitable substrates for film growth. It first uses a topoplogical search by Zur and McGill to identify matching super-lattices on various faces of the two materials. Additional criteria can then be used to identify the most suitable substrate. Currently, the only additional criteria is the elastic strain energy of the super-lattices

Initializes the substrate analyzer :param zslgen: Defaults to a ZSLGenerator with standard

tolerances, but can be fed one with custom tolerances

Parameters:

• film_max_miller (int) – maximum miller index to generate for film surfaces
• substrate_max_miller (int) – maximum miller index to generate for substrate surfaces

calculate(film, substrate, elasticity_tensor=None, film_millers=None, substrate_millers=None, ground_state_energy=0, lowest=False)

Finds all topological matches for the substrate and calculates elastic strain energy and total energy for the film if elasticity tensor and ground state energy are provided:

Parameters:

• film (Structure) – conventional standard structure for the film
• substrate (Structure) – conventional standard structure for the substrate
• elasticity_tensor (ElasticTensor) – elasticity tensor for the film in the IEEE orientation
• film_millers (array) – film facets to consider in search as defined by miller indicies
• substrate_millers (array) – substrate facets to consider in search as defined by miller indicies
• ground_state_energy (float) – ground state energy for the film
• lowest (bool) – only consider lowest matching area for each surface

calculate_3D_elastic_energy(film, match, elasticity_tensor=None, include_strain=False)

Calculates the multi-plane elastic energy. Returns 999 if no elastic tensor was given on init

Parameters:

• film (Structure) – conventional standard structure for the film
• match (dictionary) – match dictionary from substrate analyzer
• elasticity_tensor (ElasticTensor) – elasticity tensor for the film
• include_strain (bool) – include strain in the output or not; changes return from just the energy to a tuple with the energy and strain in voigt notation

generate_surface_vectors(film_millers, substrate_millers)

Generates the film/substrate slab combinations for a set of given miller indicies

Parameters:

• film_millers (array) – all miller indices to generate slabs for film
• substrate_millers (array) – all miller indicies to generate slabs for substrate

class ZSLGenerator(max_area_ratio_tol=0.09, max_area=400, max_length_tol=0.03, max_angle_tol=0.01)

Bases: object

This class generate matching interface super lattices based on the methodology of lattice vector matching for heterostructural interfaces proposed by Zur and McGill: Journal of Applied Physics 55 (1984), 378 ; doi: 10.1063/1.333084

The process of generating all possible matching super lattices is:

1.) Reduce the surface lattice vectors and calculate area for the surfaces 2.) Generate all super lattice transformations within a maximum allowed area

limit that give nearly equal area super-lattices for the two surfaces - generate_sl_transformation_sets

3.) For each superlattice set:

1.) Reduce super lattice vectors 2.) Check length and angle between film and substrate super lattice

vectors to determine if the super lattices are the nearly same and therefore coincident - get_equiv_transformations

Intialize a Zur Super Lattice Generator for a specific film and

substrate

Parameters:

• max_area_ratio_tol (float) – Max tolerance on ratio of super-lattices to consider equal
• max_area (float) – max super lattice area to generate in search
• max_length_tol – maximum length tolerance in checking if two vectors are of nearly the same length
• max_angle_tol – maximum angle tolerance in checking of two sets of vectors have nearly the same angle between them

generate_sl_transformation_sets(film_area, substrate_area)

Generates transformation sets for film/substrate pair given the area of the unit cell area for the film and substrate. The transformation sets map the film and substrate unit cells to super lattices with a maximum area

Parameters:

• film_area (int) – the unit cell area for the film
• substrate_area (int) – the unit cell area for the substrate

Returns:

a set of transformation_sets defined as:

1.) the transformation matricies for the film to create a super lattice of area i*film area 2.) the tranformation matricies for the substrate to create a super lattice of area j*film area

Return type:

transformation_sets

get_equiv_transformations(transformation_sets, film_vectors, substrate_vectors)

Applies the transformation_sets to the film and substrate vectors to generate super-lattices and checks if they matches. Returns all matching vectors sets.

Parameters:

• transformation_sets (array) – an array of transformation sets: each transformation set is an array with the (i,j) indicating the area multipes of the film and subtrate it corresponds to, an array with all possible transformations for the film area multiple i and another array for the substrate area multiple j.
• film_vectors (array) – film vectors to generate super lattices
• substrate_vectors (array) – substrate vectors to generate super lattices

is_same_vectors(vec_set1, vec_set2)

Determine if two sets of vectors are the same within length and angle tolerances

Parameters:

• vec_set1 (array[array]) – an array of two vectors
• vec_set2 (array[array]) – second array of two vectors

match_as_dict(film_sl_vectors, substrate_sl_vectors, film_vectors, substrate_vectors, match_area)

Returns dict which contains ZSL match

Parameters:

• film_miller (array) –
• substrate_miller (array) –

fast_norm(a)

Much faster variant of numpy linalg norm

gen_sl_transform_matricies(area_multiple)

Generates the transformation matricies that convert a set of 2D vectors into a super lattice of integer area multiple as proven in Cassels:

Cassels, John William Scott. An introduction to the geometry of numbers. Springer Science & Business Media, 2012.

Parameters:

• area_multiple (int) – integer multiple of unit cell area for super
• area (lattice) –

Returns:

transformation matricies to covert unit vectors to super lattice vectors

Return type:

matrix_list

get_factors(n)

Generate all factors of n

reduce_vectors(a, b)

Generate independent and unique basis vectors based on the methodology of Zur and McGill

rel_angle(vec_set1, vec_set2)

Calculate the relative angle between two vector sets

Parameters:

• vec_set1 (array[array]) – an array of two vectors
• vec_set2 (array[array]) – second array of two vectors

rel_strain(vec1, vec2)

Calculate relative strain between two vectors

vec_angle(a, b)

Calculate angle between two vectors

vec_area(a, b)

Area of lattice plane defined by two vectors