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
;
;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 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
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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
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)
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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
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
;
Makoto Tachibana (author) (Search by this author)National Institute for Materials Science
;
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
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
From Random Networks to AI-Driven Glass Design
- Conference presentation
- Creator
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N. M. Anoop Krishnan (author) (Search by this author)Department of Civil Engineering, Indian Institute of Technology Delhi
- Keyword
- Machine learning, AI-Driven Glass Design
- Date published
- Updated at
- 2025-09-25 16:30:42 +0900
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
- Journal article
- Creator
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Guohai Chen (author) (Search by this author)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (Search by this author)
- Keyword
- Carbon Nanotubes, Synthesis, Properties, Machine learning
- Date published
- 2025-10-20
- Updated at
- 2025-12-13 08:30:03 +0900
自律材料探索による磁性材料開発
- Journal article
- Creator
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岩崎 悠真 (author) (Search by this author)National Institute for Materials Science
- Keyword
- Machine learning, Materials Informatics
- Date published
- 2025-06-10
- Updated at
- 2025-12-12 08:30:25 +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
;
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
;
ABE Taichi (author) (Search by this author)Research Center for Structural Materials/Materials Evaluation Field/Structural Thermodynamics Group, National Institute for Materials Science
;
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
;
SEPEHRI AMIN Hossein (author) (Search by this author)Research Center for Magnetic and Spintronic Materials/Green Magnetic Materials 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
;
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