On the combinatorics of crystal structures. II. Number of Wyckoff sequences of a given subdivision complexity.
Published In: Acta Crystallographica. Section A, Foundations & Advances, 2023, v. 79, n. 3. P. 280 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Hornfeck, Wolfgang; Červený, Kamil 3 of 3
Abstract
Wyckoff sequences are a way of encoding combinatorial information about crystal structures of a given symmetry. In particular, they offer an easy access to the calculation of a crystal structure's combinatorial, coordinational and configurational complexity, taking into account the individual multiplicities (combinatorial degrees of freedom) and arities (coordinational degrees of freedom) associated with each Wyckoff position. However, distinct Wyckoff sequences can yield the same total numbers of combinatorial and coordinational degrees of freedom. In this case, they share the same value for their Shannon entropy based subdivision complexity. The enumeration of Wyckoff sequences with this property is a combinatorial problem solved in this work, first in the general case of fixed subdivision complexity but non‐specified Wyckoff sequence length, and second for the restricted case of Wyckoff sequences of both fixed subdivision complexity and fixed Wyckoff sequence length. The combinatorial results are accompanied by calculations of the combinatorial, coordinational, configurational and subdivision complexities, performed on Wyckoff sequences representing actual crystal structures. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Acta Crystallographica. Section A, Foundations & Advances. 2023/05, Vol. 79, Issue 3, p280
- Document Type:Article
- Subject Area:Mathematics
- Publication Date:2023
- ISSN:2053-2733
- DOI:10.1107/S2053273323002437
- Accession Number:163704734
- Copyright Statement:Copyright of Acta Crystallographica. Section A, Foundations & Advances is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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