34 件のレコードが見つかりました。
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
- ジャーナル論文
- 著者
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Houichi Kitano (author) (この著者で検索)
;
Yuuji Kimura (author) (この著者で検索)
;
Akinobu Shibata (author) (この著者で検索)
- キーワード
- Hydrogen embrittlement, Martensitic steel, Machine learning, hap (shapley additive explanations), Symbolic regression
- 刊行年月日
- 2026-04-23
- 更新時刻
- 2026-06-17 09:57:29 +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
Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics
- ジャーナル論文
- 著者
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Quentin Bizot (author) (この著者で検索)
https://orcid.org/0000-0002-4314-2266
(unauthenticated)
;
Ryo Tamura (author) (この著者で検索)
;
Guillaume Deffrennes (author) (この著者で検索)
https://orcid.org/0000-0002-3752-2537
(unauthenticated)
- キーワード
- CALPHAD, Machine learning
- 刊行年月日
- 2026-02-07
- 更新時刻
- 2026-04-01 13:44:57 +0900
機械学習を用いた耐熱鋼のクリープ寿命予測
- 書籍
- 著者
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出村 雅彦 (author) (この著者で検索)
- キーワード
- Machine learning, Structural Materials, Performance pridiction, Creep
- 刊行年月日
- 2025-05-30
- 更新時刻
- 2026-01-07 09:42:32 +0900
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
- ジャーナル論文
- 著者
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Ryo Toyama (author) (この著者で検索)
;
Yuma Iwasaki (author) (この著者で検索)
;
Prabhanjan D. Kulkarni (author) (この著者で検索)
;
Hirofumi Suto (author) (この著者で検索)
;
Tomoya Nakatani (author) (この著者で検索)
;
Yuya Sakuraba (author) (この著者で検索)
- キーワード
- Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
- 刊行年月日
- 2025-09-03
- 更新時刻
- 2025-12-26 13:11:05 +0900
Autonomous closed-loop exploration of composition-spread films for the anomalous Hall effect
- ジャーナル論文
- 著者
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Ryo Toyama (author) (この著者で検索)
;
Ryo Tamura (author) (この著者で検索)
;
Shoichi Matsuda (author) (この著者で検索)
;
Yuma Iwasaki (author) (この著者で検索)
;
Yuya Sakuraba (author) (この著者で検索)
- キーワード
- Machine learning, Autonomous, Combinatorial, Anomalous Hall effect
- 刊行年月日
- 2025-11-19
- 更新時刻
- 2025-12-25 17:32:06 +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
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
- ジャーナル論文
- 著者
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Guohai Chen (author) (この著者で検索)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (この著者で検索)
- キーワード
- Carbon Nanotubes, Synthesis, Properties, Machine learning
- 刊行年月日
- 2025-10-20
- 更新時刻
- 2025-12-13 08:30:03 +0900
Autonomous materials search using machine learning and ab initio calculations for L1 0 -FePt-based quaternary alloys
- ジャーナル論文
- 著者
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Yuma Iwasaki (author) (この著者で検索)National Institute for Materials Science
;
Daisuke Ogawa (author) (この著者で検索)National Institute for Materials Science
;
;Masato Kotsugi (author) (この著者で検索)Yukiko K. Takahashi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Machine learning, Autonomous
- 刊行年月日
- 2025-12-31
- 更新時刻
- 2025-12-25 15:02:29 +0900
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- プレゼンテーション
- 著者
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Chiaki Yoshikawa (author) (この著者で検索)National Institute for Materials Science Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team
;
Hiroshi Mamitsuka (author) (この著者で検索)
- キーワード
- Machine learning, Multicellular dynamics, Concentrated polymer brush, Cellulose nanofiber
- 刊行年月日
- 更新時刻
- 2025-11-06 12:30:42 +0900