2 件のレコードが見つかりました。
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge via adaptive constraints
- ジャーナル論文
- 著者
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;Akihiro Fujii (author) (この著者で検索)Anh Khoa Augustin Lu (author) (この著者で検索)National Institute for Materials Science
;
;Koji Shimizu (author) (この著者で検索)Satoshi Watanabe (author) (この著者で検索)
https://orcid.org/0000-0002-8069-6938
(unauthenticated)
National Institute for Materials Science
- キーワード
- Gradient-based optimization, Superconductor, Domain knowledge integration, Materials discovery, Critical temperature, Machine learning
- 刊行年月日
- 2025-10-29
- 更新時刻
- 2026-05-18 14:53:14 +0900
Elemental Reactivity Maps for Materials Discovery
- ジャーナル論文
- 著者
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Yuki Inada (author) (この著者で検索)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
;
Masaya Fujioka (author) (この著者で検索)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
;
;Haruhiko Morito (author) (この著者で検索)Tohru Sugahara (author) (この著者で検索)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
;
Hisanori Yamane (author) (この著者で検索)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
;
Yukari Katsura (author) (この著者で検索)
- キーワード
- Crystal structure, Elements, Machine learning, Materials, Reactivity
- 刊行年月日
- 2025-03-25
- 更新時刻
- 2026-02-21 16:30:08 +0900