利用量子仿真器模拟磁致伸缩元件的特性

IF 17.7 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Accounts of Chemical Research Pub Date : 2024-07-15 DOI:10.3390/computation12070147

E. Karpukhin, Alexey Bormotov, Luiza Manukyan

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引用次数: 0

摘要

文章讨论了基于量子和经典方法相结合的磁致伸缩多电子系统建模的数学和数值方法。文章论证了在现代经典计算机上使用经典量子方法开发适合微观层面磁致伸缩现象研究的算法。给出了软件包的算法和结构。通过比较已知磁致伸缩材料特性的计算结果和磁致伸缩合金的实际特性，验证了量子-经典方法的适当性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Modeling the Properties of Magnetostrictive Elements Using Quantum Emulators

The article discusses mathematical and numerical methods for modeling magnetostrictive multielectronic systems based on a combination of quantum and classical methods. The algorithm development suitable for the investigation of magnetostrictive phenomena at the micro level using the classical-quantum method implemented on a modern classical computer is justified. The algorithms and structure of the software package are given. The adequacy of the quantum-classical method is verified by comparing the calculated results of the properties of known magnetostrictive materials with the real properties of magnetostrictive alloys.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.