Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
- ジャーナル論文
- 著者
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Yuma Iwasaki (author) (この著者で検索)
- キーワード
- Machine learning, Autonomous, Curie temperature, ab initio
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-10-04 08:30:28 +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
Automated odor-blending with one-pot Bayesian optimization
- ジャーナル論文
- 著者
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;Yota Fukui (author) (この著者で検索)Kosuke Minami (author) (この著者で検索)National Institute for Materials Science
;
Kota Shiba (author) (この著者で検索)National Institute for Materials Science
;
Genki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
;
Koji Tsuda (author) (この著者で検索)National Institute for Materials Science
;
Ryo Tamura (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Machine learning, MSS, Bayesian optimization, Olfactory sensor
- 刊行年月日
- 2024-04-16
- 更新時刻
- 2024-06-10 12:30:19 +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
Exploring new useful phosphors by combining experiments with machine learning
- ジャーナル論文
- 著者
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Takashi Takeda (author) (この著者で検索)
;
Yukinori Koyama (author) (この著者で検索)
;
;Hidekazu Ikeno (author) (この著者で検索)Satoru Matsuishi (author) (この著者で検索)
;
Naoto Hirosaki (author) (この著者で検索)
- キーワード
- Phosphor, High-throughput experiment, Machine learning, Local structure, Europium
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-12-05 16:30:28 +0900
Process parameters and magnetic properties (coercivity, remanence, squareness, maximum energy product) of data-driven fabrication of Nd-Fe-B anisotropic magnets by direct hot extrusion.
- データセット
- 著者
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Lambard, Guillaume (author) (この著者で検索)
;
Sasaki, Taisuke (author) (この著者で検索)
;
Sodeyama, Keitaro (author) (この著者で検索)
;
Ohkubo, Tadakatsu (author) (この著者で検索)
;
Hono, Kazuhiro (author) (この著者で検索)
- キーワード
- Maximum energy product, Coercivity, Squareness, Machine learning, Remanence, Process, Bayesian Optimization, Hot extrusion, Active learning, Nd-Fe-B magnet
- 刊行年月日
- 2021-10-11
- 更新時刻
- 2022-10-03 02:01:08 +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
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
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
- ジャーナル論文
- 著者
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Akihiro Nishiguchi (author) (この著者で検索)National Institute for Materials Science
;
;Miho Ohta (author) (この著者で検索)Debabrata Palai (author) (この著者で検索)National Institute for Materials Science
;
Shima Ito (author) (この著者で検索)National Institute for Materials Science
;
;Kensaku Mori (author) (この著者で検索);Ryotaro Akagi (author) (この著者で検索)Christophe Bajan (author) (この著者で検索)National Institute for Materials Science
;
Guillaume Lambard (author) (この著者で検索)National Institute for Materials Science
;
Keitaro Sodeyama (author) (この著者で検索)National Institute for Materials Science
;
Tetsushi Taguchi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Hydrogel, Embolic agent, Machine learning
- 刊行年月日
- 2024-11-07
- 更新時刻
- 2025-02-26 16:30:29 +0900
Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
- ジャーナル論文
- 著者
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Yuma Iwasaki (author) (この著者で検索)
;
Hwang Jaekyun (author) (この著者で検索)
https://orcid.org/0000-0002-1792-0044
(unauthenticated)
;
Yuya Sakuraba (author) (この著者で検索)
;
Masato Kotsugi (author) (この著者で検索)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
;
Yasuhiko Igarashi (author) (この著者で検索)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
- キーワード
- autonomous materials search, ab-initio, Machine learning
- 刊行年月日
- 2022-12-31
- 更新時刻
- 2024-01-05 22:14:05 +0900