Autonomous materials search using machine learning and ab initio calculations for L1            <sub>0</sub>            -FePt-based quaternary alloys

Yuma Iwasaki; Daisuke Ogawa; Masato Kotsugi; Yukiko K. Takahashi

doi:10.1080/27660400.2025.2470114

ジャーナル論文 Autonomous materials search using machine learning and ab initio calculations for L1 ₀ -FePt-based quaternary alloys

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Autonomous materials search using machine learning and ab initio calculations for L10-FePt-based quaternary alloys (1).pdf

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引用

Yuma Iwasaki, Daisuke Ogawa, Masato Kotsugi, Yukiko K. Takahashi. Autonomous materials search using machine learning and ab initio calculations for L1 ₀ -FePt-based quaternary alloys. Science and Technology of Advanced Materials: Methods. 2025, 5 (1), 2470114. https://doi.org/10.1080/27660400.2025.2470114

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説明:

(abstract)

In this study, we present a simulation-based autonomous search method aimed at identifying quaternary L10 alloys with enhanced M and EMCA values.

権利情報:

Creative Commons BY Attribution 4.0 International

キーワード: Machine learning, Autonomous

刊行年月日: 2025-12-31

出版者: Informa UK Limited

掲載誌:

Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 5 issue. 1 p. 2470114-2470114 2470114

研究助成金:

Research and Development JPMXP1122715503

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1080/27660400.2025.2470114

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更新時刻: 2025-12-25 15:02:29 +0900

MDRでの公開時刻: 2025-12-25 16:19:27 +0900

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