論文 Autonomous materials search using machine learning and ab initio calculations for L1 0 -FePt-based quaternary alloys

Yuma Iwasaki SAMURAI ORCID (National Institute for Materials Science) ; Daisuke Ogawa SAMURAI ORCID (National Institute for Materials Science) ; Masato Kotsugi ; Yukiko K. Takahashi SAMURAI ORCID (National Institute for Materials Science)

Autonomous materials search using machine learning and ab initio calculations for L10-FePt-based quaternary alloys (1).pdf
Download file (6.77MB)
Download as zip (6.11MB)
コレクション

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

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:

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

関連資料:

その他の識別子:

連絡先:

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

ファイル名 サイズ
ファイル名 Autonomous materials search using machine learning and ab initio calculations for L10-FePt-based quaternary alloys (1).pdf (サムネイル)
application/pdf 		サイズ 6.77MB 詳細