Article 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 (6.77 MB)
Download as zip (6.11 MB)
Collection

Citation
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

Description:

(abstract)

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

Rights:

Keyword: Machine learning, Autonomous

Date published: 2025-12-31

Publisher: Informa UK Limited

Journal:

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

Funding:

  • Research and Development JPMXP1122715503

Manuscript type: Publisher's version (Version of record)

MDR DOI:

First published URL: https://doi.org/10.1080/27660400.2025.2470114

Related item:

Other identifier(s):

Contact agent:

Updated at: 2025-12-25 15:02:29 +0900

Published on MDR: 2025-12-25 16:19:27 +0900

Filename Size
Filename Autonomous materials search using machine learning and ab initio calculations for L10-FePt-based quaternary alloys (1).pdf (Thumbnail)
application/pdf 		Size 6.77 MB Detail