Materials Informatics for the Development and Discovery of Future Magnetic Materials

IF 1.1 4区物理与天体物理 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

IEEE Magnetics Letters Pub Date : 2023-09-29 DOI:10.1109/LMAG.2023.3320888

Ryotaro Okabe;Mingda Li;Yuma Iwasaki;Nicolas Regnault;Claudia Felser;Masafumi Shirai;Alexander Kovacs;Thomas Schrefl;Atsufumi Hirohata

引用次数: 0

Abstract

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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面向未来磁性材料开发与发现的材料信息学

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。

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来源期刊

IEEE Magnetics Letters PHYSICS, APPLIED-

CiteScore

2.40

自引率

0.00%

发文量

期刊介绍： IEEE Magnetics Letters is a peer-reviewed, archival journal covering the physics and engineering of magnetism, magnetic materials, applied magnetics, design and application of magnetic devices, bio-magnetics, magneto-electronics, and spin electronics. IEEE Magnetics Letters publishes short, scholarly articles of substantial current interest. IEEE Magnetics Letters is a hybrid Open Access (OA) journal. For a fee, authors have the option making their articles freely available to all, including non-subscribers. OA articles are identified as Open Access.