33 件のレコードが見つかりました。
Machine Learning-Based Experimental Design in Materials Science
- 書籍
- 著者
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Tsuda, Koji (author) (この著者で検索)
;
Dieb, Thaer M. (author) (この著者で検索)
- キーワード
- Materials design, Machine learning, Optimal experiment design
- 刊行年月日
- 2018-01-16
- 更新時刻
- 2022-10-03 01:58:06 +0900
Machine Learning to Predict Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- プレゼンテーション
- 著者
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Chiaki Yoshikawa (author) (この著者で検索)National Institute for Materials Science Research Center for Macromolecules and Biomaterials/Macromolecules Field/Polymer Surfaces and Devices Team
;
Hiroshi Mamitsuka (author) (この著者で検索)
- キーワード
- Machine learning, Multicellular dynamics, Concentrated polymer brush, Cellulose nanofiber
- 刊行年月日
- 更新時刻
- 2025-11-06 12:30:42 +0900
Quasicrystals predicted and discovered by machine learning
- ジャーナル論文
- 著者
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;Chang Liu (author) (この著者で検索);Koichi Kitahara (author) (この著者で検索);Asuka Ishikawa (author) (この著者で検索)Takanobu Hiroto (author) (この著者で検索)National Institute for Materials Science
;
Alok Singh (author) (この著者で検索)National Institute for Materials Science
;
Erina Fujita (author) (この著者で検索)National Institute for Materials Science
;
Yukari Katsura (author) (この著者で検索)National Institute for Materials Science
;
;Yuki Inada (author) (この著者で検索);Ryuji Tamura (author) (この著者で検索)Kaoru Kimura (author) (この著者で検索)National Institute for Materials Science
;
Ryo Yoshida (author) (この著者で検索)
https://orcid.org/0000-0001-8092-0162
(unauthenticated)
- キーワード
- Crystal forms, Crystal phenomena, Crystal structure, Alloys, Machine learning
- 刊行年月日
- 2023-09-25
- 更新時刻
- 2024-11-21 16:36:03 +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
- ジャーナル論文
- 著者
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Cédric Bourgès (author) (この著者で検索)National Institute for Materials Science
;
Guillaume Lambard (author) (この著者で検索)National Institute for Materials Science
;
Naoki Sato (author) (この著者で検索)National Institute for Materials Science
;
Makoto Tachibana (author) (この著者で検索)National Institute for Materials Science
;
Satoshi Ishii (author) (この著者で検索)National Institute for Materials Science
;
Takao Mori (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Kesterite, Machine learning, Process, Thermoelectric, Ceramic
- 刊行年月日
- 2024-08-29
- 更新時刻
- 2024-09-20 16:30:30 +0900
Exploring new useful phosphors by combining experiments with machine learning
- ジャーナル論文
- 著者
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Takashi Takeda (author) (この著者で検索)
;
Yukinori Koyama (author) (この著者で検索)
;
;Hidekazu Ikeno (author) (この著者で検索)Satoru Matsuishi (author) (この著者で検索)
;
Naoto Hirosaki (author) (この著者で検索)
- キーワード
- Phosphor, High-throughput experiment, Machine learning, Local structure, Europium
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-12-05 16:30:28 +0900
A straightforward gradient-based approach for designing superconductors with high critical temperature: exploiting domain knowledge via adaptive constraints
- ジャーナル論文
- 著者
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;Akihiro Fujii (author) (この著者で検索)Anh Khoa Augustin Lu (author) (この著者で検索)National Institute for Materials Science
;
;Koji Shimizu (author) (この著者で検索)Satoshi Watanabe (author) (この著者で検索)
https://orcid.org/0000-0002-8069-6938
(unauthenticated)
National Institute for Materials Science
- キーワード
- Gradient-based optimization, Superconductor, Domain knowledge integration, Materials discovery, Critical temperature, Machine learning
- 刊行年月日
- 2025-10-29
- 更新時刻
- 2026-05-18 14:53:14 +0900
In Situ Forming Supramolecular Nanofiber Hydrogel as a Biodegradable Liquid Embolic Agent for Postembolization Tissue Remodeling
- ジャーナル論文
- 著者
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Akihiro Nishiguchi (author) (この著者で検索)National Institute for Materials Science
;
;Miho Ohta (author) (この著者で検索)Debabrata Palai (author) (この著者で検索)National Institute for Materials Science
;
Shima Ito (author) (この著者で検索)National Institute for Materials Science
;
;Kensaku Mori (author) (この著者で検索);Ryotaro Akagi (author) (この著者で検索)Christophe Bajan (author) (この著者で検索)National Institute for Materials Science
;
Guillaume Lambard (author) (この著者で検索)National Institute for Materials Science
;
Keitaro Sodeyama (author) (この著者で検索)National Institute for Materials Science
;
Tetsushi Taguchi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Hydrogel, Embolic agent, Machine learning
- 刊行年月日
- 2024-11-07
- 更新時刻
- 2025-02-26 16:30:29 +0900
Estimation of valence state and growth rate using principal component analysis of plasma emission in reactive sputtering deposition
- ジャーナル論文
- 著者
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;Rintaro Minami (author) (この著者で検索)University of Tsukuba a Department of Applied Physics;Eiji Kita (author) (この著者で検索);Chiharu Mitsumata (author) (この著者で検索)Hideto Yanagihara (author) (この著者で検索)
- キーワード
- Machine learning, principal component analysis (PCA), reactive magnetron sputtering, plasma emission spectrum, Mössbauer spectroscopy
- 刊行年月日
- 2025-12-31
- 更新時刻
- 2025-09-10 16:30:38 +0900
Data-Driven Development of Magnetic Materials
- プレゼンテーション
- 著者
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BOLYACHKIN Anton (author) (この著者で検索)National Institute for Materials Science Global Networking Division/International Center for Young Scientists
;
SEPEHRI AMIN Hossein (author) (この著者で検索)National Institute for Materials Science Research Center for Magnetic and Spintronic Materials/Magnetic Materials Analysis Group
;
OHKUBO Tadakatsu (author) (この著者で検索)National Institute for Materials Science Research Center for Magnetic and Spintronic Materials
- キーワード
- Nd-Fe-B magnets, Magnetocaloric materials, Magnetic recodring, Machine learning
- 刊行年月日
- 更新時刻
- 2024-10-16 16:30:20 +0900
Advances in Carbon Nanotubes: Synthesis, Properties, and Cutting-Edge Applications
- ジャーナル論文
- 著者
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Guohai Chen (author) (この著者で検索)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (この著者で検索)
- キーワード
- Carbon Nanotubes, Synthesis, Properties, Machine learning
- 刊行年月日
- 2025-10-20
- 更新時刻
- 2025-12-13 08:30:03 +0900