26 records found. Displaying records 1 to 10.
Data-Driven Development of Magnetic Materials
- Conference presentation
- Creator
-
BOLYACHKIN Anton (author) (Search by this author)Global Networking Division/International Center for Young Scientists, National Institute for Materials Science
;
SEPEHRI AMIN Hossein (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group, National Institute for Materials Science
;
OHKUBO Tadakatsu (author) (Search by this author)Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science
- Keyword
- Nd-Fe-B magnets, Magnetocaloric materials, Magnetic recodring, Machine learning
- Date published
- Updated at
- 2024-10-16 16:30:20 +0900
Elemental Reactivity Maps for Materials Discovery
- Journal article
- Creator
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Yuki Inada (author) (Search by this author)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
;
Masaya Fujioka (author) (Search by this author)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
;
;Haruhiko Morito (author) (Search by this author)Tohru Sugahara (author) (Search by this author)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
;
Hisanori Yamane (author) (Search by this author)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
;
Yukari Katsura (author) (Search by this author)
- Keyword
- Crystal structure, Elements, Machine learning, Materials, Reactivity
- Date published
- 2025-03-25
- Updated at
- 2026-02-21 16:30:08 +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
;
Koji Kimoto (author) (Search by this author)National Institute for Materials Science
;
;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
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
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
;
;Miho Ohta (author) (Search by this author)Debabrata Palai (author) (Search by this author)National Institute for Materials Science
;
Shima Ito (author) (Search by this author)National Institute for Materials Science
;
;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
;
Guillaume Lambard (author) (Search by this author)National Institute for Materials Science
;
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 to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- Conference presentation
- Creator
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Chiaki Yoshikawa (author) (Search by this author)Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team, National Institute for Materials Science
;
Hiroshi Mamitsuka (author) (Search by this author)
- Keyword
- Machine learning, Multicellular dynamics, Concentrated polymer brush, Cellulose nanofiber
- Date published
- Updated at
- 2025-11-06 12:30:42 +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
Quasicrystals predicted and discovered by machine learning
- Journal article
- Creator
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;Chang Liu (author) (Search by this author);Koichi Kitahara (author) (Search by this author);Asuka Ishikawa (author) (Search by this author)Takanobu Hiroto (author) (Search by this author)National Institute for Materials Science
;
Alok Singh (author) (Search by this author)National Institute for Materials Science
;
Erina Fujita (author) (Search by this author)National Institute for Materials Science
;
Yukari Katsura (author) (Search by this author)National Institute for Materials Science
;
;Yuki Inada (author) (Search by this author);Ryuji Tamura (author) (Search by this author)Kaoru Kimura (author) (Search by this author)National Institute for Materials Science
;
Ryo Yoshida (author) (Search by this author)
https://orcid.org/0000-0001-8092-0162
(unauthenticated)
- Keyword
- Crystal forms, Crystal phenomena, Crystal structure, Alloys, Machine learning
- Date published
- 2023-09-25
- Updated at
- 2024-11-21 16:36:03 +0900
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
- Journal article
- Creator
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;Jianbo Lin (author) (Search by this author)Tomofumi Tada (author) (Search by this author)
https://orcid.org/0000-0003-3093-3779
(unauthenticated)
;
;Ai Koizumi (author) (Search by this author)Masato Sumita (author) (Search by this author)
https://orcid.org/0000-0002-3506-1028
(unauthenticated)
;
Koji Tsuda (author) (Search by this author)
;
Ryo Tamura (author) (Search by this author)
- Keyword
- Machine learning, Ising machine, Proton configuration
- Date published
- 2025-02-06
- Updated at
- 2025-05-23 08:30:18 +0900
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