Data · dataset · 2026
The data of article ''An efficient algorithm for generating perfect special quasirandom structures with many-body correlation functions and its application to the Kronig–Penney model"
Listed in ScienceDB
The special quasirandom structure (SQS) method provides an ideal representation of disordered struc tures.
Description
However, it is still a challenge to generate structures that perfectly satisfy the constraints of correlation functions, especially for many-body interactions. Taking one-dimensional systems as an example, we develop an efficient SQS construction algorithm for multi-component materials based on De Bruijn sequences, which can be extended for systems with higher dimensions and more components.
The constructed SQSs by in our algorithm are shown to universally satisfy all the constraints of 1 ∼ n-body interactions and the numbers of consecutive identical-atom subsequences follow a unified counting rule. Based on the Kronig–Penney model, we have systematically investigated the impact of structural disorder on electronic properties. As the cell size increases, there are the same trends of the electronic structures obtained from SQSs and fully random structures while SQSs display markedly faster convergence and significantly reduced fluctuations.
Read the rest (2 more)
We demonstrate that SQS provides a reliable and efficient finite-size representation for electronic-structure calculations of disordered systems.This codebase provides a deterministic and highly efficient algorithm for constructing Special Quasirandom Structures (SQS) in multi-component disordered materials. By leveraging the mathematical properties of De Bruijn sequences, the algorithm ensures that the generated structures perfectly satisfy the constraints of 1 to n-body correlation functions.
The project also includes a physical simulation framework based on the Kronig–Penney model to evaluate the electronic properties of these structures.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00113.00316 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Bioinformatics and computational biology 69% · Simulation 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00113.00316 | 12 d ago | JSON v1 |
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|---|---|---|---|
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| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[method].local:method:simulation | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license_text | source · scidb cn | connector:scidb_cn@1.0.0 | |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |