Journal article Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization
Kohei Nakamura (author) (Search by this author)
;
Daigo Furuya (author) (Search by this author)
;
Yoshio Miura (author) (Search by this author)
ORCID https://orcid.org/0000-0002-5605-5452
National Institute for Materials Science
SAMURAI NIMS Researchers Directory SAMURAI
ORCID SAMURAI ;
Takahiro Yamazaki (author) (Search by this author)
;
Alexandre Lira Foggiatto (author) (Search by this author)
;
Yuma Iwasaki (author) (Search by this author)
ORCID https://orcid.org/0000-0002-7117-277X
National Institute for Materials Science
SAMURAI NIMS Researchers Directory SAMURAI
ORCID SAMURAI ;
Masato Kotsugi (author) (Search by this author)
Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization.pdf
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Citation
Kohei Nakamura, Daigo Furuya, Yoshio Miura, Takahiro Yamazaki, Alexandre Lira Foggiatto, Yuma Iwasaki, Masato Kotsugi. Efficient discovery of large magnetic anisotropy with thermodynamically stable materials via multi-objective Bayesian optimization. Science and Technology of Advanced Materials: Methods. 2025, 5 (1), 2485025. https://doi.org/10.1080/27660400.2025.2485025

Description:

(abstract)

This study presents an efficient magnetic material exploring method with large magnetocrystalline anisotropy (MCA) and thermodynamic stability by combining multi-objective Bayesian optimization (MBO) with first principles calculations.

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Keyword: materials informatics

Date published: 2025-12-31

Publisher: Informa UK Limited

Journal:

  • Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 5 issue. 1 2485025

Funding:

  • Japan Science and Technology Agency JPMJCR21O1
  • Japan Society for the Promotion of Science 21H04656

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

MDR DOI:

First published URL: https://doi.org/10.1080/27660400.2025.2485025

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Updated at: 2025-12-12 08:30:29 +0900

Published on MDR: 2025-12-12 08:24:06 +0900

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