30 records found. Displaying records 1 to 10.
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
- Journal article
- Creator
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Lambard, Guillaume (author) (Search by this author)
;
Naito, Masanobu (author) (Search by this author)
;
Samitsu, Sadaki (author) (Search by this author)
;
Pruksawan, Sirawit (author) (Search by this author)
https://orcid.org/0000-0002-9380-1872
(unauthenticated)
;
Sodeyama, Keitaro (author) (Search by this author)
- Keyword
- active learning, Machine learning, adhesive
- Date published
- 2019-12-31
- Updated at
- 2024-01-05 22:11:50 +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.
- Dataset
- Creator
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Lambard, Guillaume (author) (Search by this author)
;
Sasaki, Taisuke (author) (Search by this author)
;
Sodeyama, Keitaro (author) (Search by this author)
;
Ohkubo, Tadakatsu (author) (Search by this author)
;
Hono, Kazuhiro (author) (Search by this author)
- Keyword
- Maximum energy product, Coercivity, Squareness, Machine learning, Remanence, Process, Bayesian Optimization, Hot extrusion, Active learning, Nd-Fe-B magnet
- Date published
- 2021-10-11
- Updated at
- 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
- Journal article
- Creator
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;Akihiro Fujii (author) (Search by this author)Anh Khoa Augustin Lu (author) (Search by this author)National Institute for Materials Science
;
;Koji Shimizu (author) (Search by this author)Satoshi Watanabe (author) (Search by this author)
https://orcid.org/0000-0002-8069-6938
(unauthenticated)
National Institute for Materials Science
- Keyword
- Gradient-based optimization, Superconductor, Domain knowledge integration, Materials discovery, Critical temperature, Machine learning
- Date published
- 2025-10-29
- Updated at
- 2026-05-18 14:53:14 +0900
Effects of data bias on machine-learning–based material discovery using experimental property data
- Journal article
- Creator
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;Masaya Kumagai (author) (Search by this author);Yuki Ando (author) (Search by this author);Atsumi Tanaka (author) (Search by this author)Koji Tsuda (author) (Search by this author)National Institute for Materials Science
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Yukari Katsura (author) (Search by this author)National Institute for Materials Science
;
Ken Kurosaki (author) (Search by this author)
https://orcid.org/0000-0002-3015-3206
(unauthenticated)
- Keyword
- Machine learning, material informatics, large-scale material data, data bias
- Date published
- 2022-12-31
- Updated at
- 2024-11-16 08:31:01 +0900
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
- Journal article
- Creator
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;Izumi Takahara (author) (Search by this author)Fumihiko Uesugi (author) (Search by this author)National Institute for Materials Science
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Koji Kimoto (author) (Search by this author)National Institute for Materials Science
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;Kiyou Shibata (author) (Search by this author)Teruyasu Mizoguchi (author) (Search by this author)
- Keyword
- Machine learning, ELNES, XANES, PDOS
- Date published
- 2024-08-15
- Updated at
- 2024-10-02 12:30:19 +0900
Machine learning assisted nanobeam X-ray diffraction based analysis on hydride vapor-phase epitaxy GaN
- Journal article
- Creator
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;Zhendong Wu (author) (Search by this author)Yusuke Hayashi (author) (Search by this author)National Institute for Materials Science
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;Tetsuya Tohei (author) (Search by this author);Kazushi Sumitani (author) (Search by this author);Yasuhiko Imai (author) (Search by this author);Shigeru Kimura (author) (Search by this author)Akira Sakai (author) (Search by this author)
- Keyword
- GaN, SPring-8, nanoXRD, Machine learning
- Date published
- 2025-08-01
- Updated at
- 2025-07-31 12:30:18 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
- Journal article
- Creator
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Akihiro Nishiguchi (author) (Search by this author)National Institute for Materials Science
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;Miho Ohta (author) (Search by this author)Debabrata Palai (author) (Search by this author)National Institute for Materials Science
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Shima Ito (author) (Search by this author)National Institute for Materials Science
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;Kensaku Mori (author) (Search by this author);Ryotaro Akagi (author) (Search by this author)Christophe Bajan (author) (Search by this author)National Institute for Materials Science
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Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
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Keitaro Sodeyama (author) (Search by this author)National Institute for Materials Science
;
Tetsushi Taguchi (author) (Search by this author)National Institute for Materials Science
- Keyword
- Hydrogel, Embolic agent, Machine learning
- Date published
- 2024-11-07
- Updated at
- 2025-02-26 16:30:29 +0900
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
- Journal article
- Creator
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Ryo Tamura (author) (Search by this author)National Institute for Materials Science
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;Kenji Nagata (author) (Search by this author);Keitaro Sodeyama (author) (Search by this author);Kensaku Nakamura (author) (Search by this author);Toshiki Tokuhira (author) (Search by this author);Satoshi Shibata (author) (Search by this author);Kazuki Hammura (author) (Search by this author);Hiroki Sugisawa (author) (Search by this author);Masaya Kawamura (author) (Search by this author);Teruki Tsurimoto (author) (Search by this author);Masanobu Naito (author) (Search by this author)Masahiko Demura (author) (Search by this author)National Institute for Materials Science
;
Takashi Nakanishi (author) (Search by this author)National Institute for Materials Science
- Keyword
- Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
- Date published
- 2024-12-31
- Updated at
- 2024-08-30 16:31:01 +0900
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
- Journal article
- Creator
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Houichi Kitano (author) (Search by this author)
;
Yuuji Kimura (author) (Search by this author)
;
Akinobu Shibata (author) (Search by this author)
- Keyword
- Hydrogen embrittlement, Martensitic steel, Machine learning, hap (shapley additive explanations), Symbolic regression
- Date published
- 2026-04-23
- Updated at
- 2026-06-17 09:57:29 +0900
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
- Journal article
- Creator
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N. Kulesh (author) (Search by this author)National Institute for Materials Science
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A. Bolyachkin (author) (Search by this author)National Institute for Materials Science
;
I. Suzuki (author) (Search by this author)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
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Y.K. Takahashi (author) (Search by this author)National Institute for Materials Science
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H. Sepehri-Amin (author) (Search by this author)National Institute for Materials Science
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K. Hono (author) (Search by this author)National Institute for Materials Science
- Keyword
- Heat-assisted magnetic recording (HAMR), FePt, Deep learning, Machine learning, Image segmentation
- Date published
- 2023-05-27
- Updated at
- 2025-05-27 08:30:20 +0900