利用量子仿真器模拟磁致伸缩元件的特性

IF 1.9 Q2 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Computation 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。

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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

Computation Mathematics-Applied Mathematics

CiteScore

3.50

自引率

4.50%

发文量

201

审稿时长

8 weeks

期刊介绍： Computation a journal of computational science and engineering. Topics: computational biology, including, but not limited to: bioinformatics mathematical modeling, simulation and prediction of nucleic acid (DNA/RNA) and protein sequences, structure and functions mathematical modeling of pathways and genetic interactions neuroscience computation including neural modeling, brain theory and neural networks computational chemistry, including, but not limited to: new theories and methodology including their applications in molecular dynamics computation of electronic structure density functional theory designing and characterization of materials with computation method computation in engineering, including, but not limited to: new theories, methodology and the application of computational fluid dynamics (CFD) optimisation techniques and/or application of optimisation to multidisciplinary systems system identification and reduced order modelling of engineering systems parallel algorithms and high performance computing in engineering.