面向未来磁性材料开发与发现的材料信息学

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Ryotaro Okabe;Mingda Li;Yuma Iwasaki;Nicolas Regnault;Claudia Felser;Masafumi Shirai;Alexander Kovacs;Thomas Schrefl;Atsufumi Hirohata
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引用次数: 0

摘要

这封信总结了使用人工智能(AI)和机器学习(ML)的磁性材料搜索的最新发展,并简要介绍了ML和AI的材料发现方法。作者提供了一个流程图,以帮助选择相关的方法为他们的材料搜索。这封信还涵盖了作者最近在磁性和量子材料方面的研究活动,包括拓扑材料,Heusler合金,界面和永磁体。这篇综述是基于IEEE Intermag 2023最近的一次研讨会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Materials Informatics for the Development and Discovery of Future Magnetic Materials
This letter summarizes the recent development of magnetic materials search using artificial intelligence (AI) and machine learning (ML) and briefly introduces ML and AI approaches to materials discovery. The authors offer a flowchart to aid the selection of relevant approaches for their material search. This letter also covers the authors' recent research activities in magnetism and quantum materials, including topological materials, Heusler alloys, interfaces, and permanent magnets. This overview is based on a recent symposium at IEEE Intermag 2023.
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来源期刊
Accounts of Chemical Research
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.
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