29 records found.
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
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
- Journal article
- Creator
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;Rintaro Minami (author) (Search by this author)a Department of Applied Physics, University of Tsukuba;Eiji Kita (author) (Search by this author);Chiharu Mitsumata (author) (Search by this author)Hideto Yanagihara (author) (Search by this author)
- Keyword
- Machine learning, principal component analysis (PCA), reactive magnetron sputtering, plasma emission spectrum, Mössbauer spectroscopy
- Date published
- 2025-12-31
- Updated at
- 2025-09-10 16:30:38 +0900
Machine Learning Assisted Optimization of SmFe12-based Alloys
- Conference poster
- Creator
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BOLYACHKIN Anton (author) (Search by this author)International Center for Young Scientists, National Institute for Materials Science
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SUBAGJA Toni (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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;LI Jiangnan (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group, National Institute for Materials Science;ZHANG Jiasheng (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials ScienceASHOK KRISHNASWAMY Srinithi (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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ABE Taichi (author) (Search by this author)Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group, National Institute for Materials Science
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TANG Xin (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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;TOZMAN KARANIKOLAS Pelin (author) (Search by this author)Global Networking Division/International Center for Young Scientists, National Institute for Materials ScienceKULESH Nikita (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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SEPEHRI AMIN Hossein (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials Group, National Institute for Materials Science
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OHKUBO Tadakatsu (author) (Search by this author)Research Center for Magnetic and Spintronic Materials, National Institute for Materials Science
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HONO Kazuhiro (author) (Search by this author)National Institute for Materials Science
- Keyword
- Machine learning, Hard magnetic materials, SmFe12-based alloys
- Date published
- Updated at
- 2024-10-17 08:30:37 +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
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I. Suzuki (author) (Search by this author)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
;
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
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
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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
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
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
- Journal article
- Creator
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;Han Chen (author) (Search by this author);Daisuke Egusa (author) (Search by this author);Zehao Li (author) (Search by this author)National Institute for Materials ScienceTaisuke Sasaki (author) (Search by this author)National Institute for Materials Science
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;Ryosuke Ozasa (author) (Search by this author);Takuya Ishimoto (author) (Search by this author);Masayuki Okugawa (author) (Search by this author);Yuichiro Koizumi (author) (Search by this author);Takayoshi Nakano (author) (Search by this author)Eiji Abe (author) (Search by this author)
- Keyword
- High-entropy alloy, Laser powder bed fusion, Cellular structure, Phase separation, Dislocation-network, Electron microscopy, Machine learning
- Date published
- 2025-03-12
- Updated at
- 2025-04-08 13:16:16 +0900
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
- Journal article
- Creator
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Ryo Toyama (author) (Search by this author)
;
Yuma Iwasaki (author) (Search by this author)
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Prabhanjan D. Kulkarni (author) (Search by this author)
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Hirofumi Suto (author) (Search by this author)
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Tomoya Nakatani (author) (Search by this author)
;
Yuya Sakuraba (author) (Search by this author)
- Keyword
- Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
- Date published
- 2025-09-03
- Updated at
- 2025-12-26 13:11:05 +0900
Process optimization on kesterite-based ceramics for enhancing their thermoelectric performances assisted by active machine learning approach: A tool for metal-sulfide ceramics development
- Journal article
- Creator
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Cédric Bourgès (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
;
Naoki Sato (author) (Search by this author)National Institute for Materials Science
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Makoto Tachibana (author) (Search by this author)National Institute for Materials Science
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Satoshi Ishii (author) (Search by this author)National Institute for Materials Science
;
Takao Mori (author) (Search by this author)National Institute for Materials Science
- Keyword
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- Date published
- 2024-08-29
- Updated at
- 2024-09-20 16:30:30 +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
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;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