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
Elemental Reactivity Maps for Materials Discovery
- ジャーナル論文
- 著者
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Yuki Inada (author) (この著者で検索)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
;
Masaya Fujioka (author) (この著者で検索)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
;
;Haruhiko Morito (author) (この著者で検索)Tohru Sugahara (author) (この著者で検索)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
;
Hisanori Yamane (author) (この著者で検索)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
;
Yukari Katsura (author) (この著者で検索)
- キーワード
- Crystal structure, Elements, Machine learning, Materials, Reactivity
- 刊行年月日
- 2025-03-25
- 更新時刻
- 2026-02-21 16:30:08 +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
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
- ジャーナル論文
- 著者
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;Rintaro Minami (author) (この著者で検索)University of Tsukuba a Department of Applied Physics;Eiji Kita (author) (この著者で検索);Chiharu Mitsumata (author) (この著者で検索)Hideto Yanagihara (author) (この著者で検索)
- キーワード
- Machine learning, principal component analysis (PCA), reactive magnetron sputtering, plasma emission spectrum, Mössbauer spectroscopy
- 刊行年月日
- 2025-12-31
- 更新時刻
- 2025-09-10 16:30:38 +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
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
Data-Driven Development of Magnetic Materials
- プレゼンテーション
- 著者
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BOLYACHKIN Anton (author) (この著者で検索)National Institute for Materials Science Global Networking Division/International Center for Young Scientists
;
SEPEHRI AMIN Hossein (author) (この著者で検索)National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group
;
OHKUBO Tadakatsu (author) (この著者で検索)National Institute for Materials Science Research Center for Magnetic and Spintronic Materials
- キーワード
- Nd-Fe-B magnets, Magnetocaloric materials, Magnetic recodring, Machine learning
- 刊行年月日
- 更新時刻
- 2024-10-16 16:30:20 +0900
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion
- ジャーナル論文
- 著者
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;Naoki Yamane (author) (この著者で検索)Tsukuba University;Kan Hatakeyama-Sato (author) (この著者で検索)東京工業大学Yuma Iwasaki (author) (この著者で検索)National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group
;
Yasuhiko Igarashi (author) (この著者で検索)Tsukuba University
- キーワード
- Machine learning
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-11-14 16:30:30 +0900
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
- ジャーナル論文
- 著者
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Ryo Tamura (author) (この著者で検索)National Institute for Materials Science
;
;Kenji Nagata (author) (この著者で検索);Keitaro Sodeyama (author) (この著者で検索);Kensaku Nakamura (author) (この著者で検索);Toshiki Tokuhira (author) (この著者で検索);Satoshi Shibata (author) (この著者で検索);Kazuki Hammura (author) (この著者で検索);Hiroki Sugisawa (author) (この著者で検索);Masaya Kawamura (author) (この著者で検索);Teruki Tsurimoto (author) (この著者で検索);Masanobu Naito (author) (この著者で検索)Masahiko Demura (author) (この著者で検索)National Institute for Materials Science
;
Takashi Nakanishi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-08-30 16:31:01 +0900
Machine Learning-Based Experimental Design in Materials Science
- 書籍
- 著者
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Tsuda, Koji (author) (この著者で検索)
;
Dieb, Thaer M. (author) (この著者で検索)
- キーワード
- Materials design, Machine learning, Optimal experiment design
- 刊行年月日
- 2018-01-16
- 更新時刻
- 2022-10-03 01:58:06 +0900