Machine learning assisted nanobeam X-ray diffraction based analysis on hydride vapor-phase epitaxy GaN
- ジャーナル論文
- 著者
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;Zhendong Wu (author) (この著者で検索)Yusuke Hayashi (author) (この著者で検索)National Institute for Materials Science
;
;Tetsuya Tohei (author) (この著者で検索);Kazushi Sumitani (author) (この著者で検索);Yasuhiko Imai (author) (この著者で検索);Shigeru Kimura (author) (この著者で検索)Akira Sakai (author) (この著者で検索) - キーワード
- GaN, SPring-8, nanoXRD, Machine learning
- 刊行年月日
- 2025-08-01
- 更新時刻
- 2025-07-31 12:30:18 +0900
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
- ジャーナル論文
- 著者
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;Sitanan Sartyoungkul (author) (この著者で検索);Balasubramaniyan Sakthivel (author) (この著者で検索)Pavel Sidorov (author) (この著者で検索)
https://orcid.org/0000-0001-6462-702X
(unauthenticated)
;
Yuuya Nagata (author) (この著者で検索)
https://orcid.org/0000-0001-5926-5845
(unauthenticated)
- キーワード
- Automated synthesis, Fragment descriptor, Machine learning, Retention time prediction, Supercritical fluid chromatography
- 刊行年月日
- 2025-11-26
- 更新時刻
- 2025-12-24 15:05:55 +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
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;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