6 records found.
Mesoporous Single-Crystal High-Entropy Alloy
- Journal article
- Creator
-
;Ravi Nandan (author) (Search by this author)National Institute for Materials Science;Ho Ngoc Nam (author) (Search by this author);Quan Manh Phung (author) (Search by this author);Hiroki Nara (author) (Search by this author)Joel Henzie (author) (Search by this author)National Institute for Materials Science
;
Yusuke Yamauchi (author) (Search by this author)
https://orcid.org/0000-0001-7854-927X
(unauthenticated)
National Institute for Materials Science
- Keyword
- High Entropy Alloy, Electrocatalysis, Machine Learning, Mesoporous Metal, Nanoparticle
- Date published
- 2025-06-04
- Updated at
- 2026-02-16 18:06:09 +0900
Multi-objective optimization of magnet compositions by machine learning
- Conference poster
- Collection
- The 28th International Workshop on Rare Earth and Future Permanent Magnets and Their Applications (REPM2025)
- Creator
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;Hyuga Hosoi (author) (Search by this author)Toyota Motor Corporation, Japan;Yamano Hayate (author) (Search by this author)Toyota Motor Corporation, Japan;Kinoshita Akihito (author) (Search by this author)Toyota Motor Corporation, Japan;Sakuma Noritsugu (author) (Search by this author)Toyota Motor Corporation, Japan;Umetani Yusuke (author) (Search by this author)Toyota Motor Corporation, Japan;Shoji Tetsuya (author) (Search by this author)Toyota Motor Corporation, JapanThomas Schrefl (author) (Search by this author)Donau University Krems, Austria
- Keyword
- REPM2025, NdFeB, Machine Learning, Multi–objective optimization, WAVEBASE
- Date published
- Updated at
- 2025-09-11 16:31:00 +0900
[Research Highlights Vol. 92]MANA Scientists Employ Active Machine Learning to Enhance Thermoelectric Performance of Materials
- Magazine
- Collection
- Research Highlights
- Creator
-
International Center for Materials Nanoarchitectonics (WPI-MANA) (author) (Search by this author)National Institute for Materials Science
- Keyword
- Kesterite, Thermoelectric Properties, Machine Learning, Process Optimization, Ceramics
- Date published
- 2025-01-20
- Updated at
- 2025-02-13 15:42:03 +0900
Pretreatment-free SERS sensing of microplastics using a self-attention-based neural network on hierarchically porous Ag foams
- Journal article
- Creator
-
Olga Guselnikova (author) (Search by this author)
https://orcid.org/0000-0002-2594-9605
(unauthenticated)
;
;Andrii Trelin (author) (Search by this author);Yunqing Kang (author) (Search by this author)National Institute for Materials Science;Pavel Postnikov (author) (Search by this author);Makoto Kobashi (author) (Search by this author);Asuka Suzuki (author) (Search by this author)Lok Kumar Shrestha (author) (Search by this author)National Institute for Materials Science
;
Joel Henzie (author) (Search by this author)National Institute for Materials Science
;
Yusuke Yamauchi (author) (Search by this author)National Institute for Materials Science
- Keyword
- SERS, Microplastics, Plasmonics, Machine Learning, Self-attention-based neural networks
- Date published
- 2024-05-28
- Updated at
- 2024-08-20 12:30:25 +0900
Extraction of local structure differences in silica based on unsupervised learning
- Journal article
- Creator
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Anh Khoa Augustin Lu (author) (Search by this author)National Institute for Materials Science
;
Jianbo Lin (author) (Search by this author)National Institute for Materials Science
;
;Yasunori Futamura (author) (Search by this author);Tetsuya Sakurai (author) (Search by this author)Ryo Tamura (author) (Search by this author)National Institute for Materials Science
;
Tsuyoshi Miyazaki (author) (Search by this author)National Institute for Materials Science
- Keyword
- silica, unsupervised learning, Machine Learning, Molecular Dynamics(MD), Density Functional Theory (DFT), local structure analysis
- Date published
- 2024-03-28
- Updated at
- 2024-08-20 08:30:29 +0900
Proposal for Automatic Extraction Framework of Superconductors Related Information from Scientific Literature
- Journal article
- Creator
-
FOPPIANO, Luca (author) (Search by this author)
;
Thaer, M. Dieb (author) (Search by this author)
;
SUZUKI, Akira (author) (Search by this author)
;
ISHII, Masashi (author) (Search by this author)
- Keyword
- TDM, NLP, Machine Learning, Material Informatics, Superconductors
- Date published
- 2019-05-31
- Updated at
- 2022-10-03 01:50:55 +0900