School of Mathematical and Statistical Sciences Faculty Publications and Presentations
Document Type
Article
Publication Date
8-2020
Abstract
The main goal of the paper is to contribute to the agenda of developing an algorithmic model for crystallization and measuring the complexity of crystals by constructing embeddings of 3D parallelohedra into a primitive cubic network (pcu net). It is proved that any parallelohedron P as well as tiling by P, except the rhombic dodecahedron, can be embedded into the 3D pcu net. It is proved that for the rhombic dodecahedron embedding into the 3D pcu net does not exist; however, embedding into the 4D pcu net exists. The question of how many ways the embedding of a parallelohedron can be constructed is answered. For each parallelohedron, the deterministic finite automaton is developed which models the growth of the crystalline structure with the same combinatorial type as the given parallelohedron.
Recommended Citation
Bouniaev, M. M., and S. V. Krivovichev. 2020. “Embedding Parallelohedra into Primitive Cubic Networks and Structural Automata Description.” Acta Crystallographica Section A: Foundations and Advances 76 (6): 698–712. https://doi.org/10.1107/S2053273320011663.
First Page
698
Last Page
712
Publication Title
Acta Crystallographica Section A: Foundations and Advances
DOI
10.1107/S2053273320011663
Comments
Copyright 2020 International Union of Crystallography