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

Akihiro Fujii (author) (この著者で検索)

Akihiro Fujii ;

Anh Khoa Augustin Lu (author) (この著者で検索)

https://orcid.org/0000-0003-4702-0933

National Institute for Materials Science

NIMS Researchers Directory SAMURAI

Anh Khoa Augustin Lu ;

Koji Shimizu (author) (この著者で検索)

Koji Shimizu ;

Satoshi Watanabe (author) (この著者で検索)

https://orcid.org/0000-0002-8069-6938 (unauthenticated)

National Institute for Materials Science

Satoshi Watanabe

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