2 件のレコードが見つかりました。
Study of the ion mobility in defect-laden under an electric field using neural network with predictions for Born effective charges
- ジャーナル論文
- 著者
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Anh Khoa Augustin Lu (author) (この著者で検索)National Institute for Materials Science
;
;Naoki Maekawa (author) (この著者で検索);Akane Ikeda (author) (この著者で検索);Koji Shimizu (author) (この著者で検索)Hiroshi Masuda (author) (この著者で検索)
https://orcid.org/0000-0003-1032-8790
(unauthenticated)
National Institute for Materials Science
;
Hidehiro Yoshida (author) (この著者で検索)National Institute for Materials Science
;
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
- Machine learning force field, Zirconia, Ion diffusion, Point defect, Electric field
- 刊行年月日
- 2026-06-02
- 更新時刻
- 2026-06-08 13:01:57 +0900
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