28 件のレコードが見つかりました。
Toward the Atomic-Level Analysis of Ground-State Electronic Structures of Solid Materials via Prediction from Core-Loss Spectra: A Computational Study in Si
- ジャーナル論文
- 著者
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;Izumi Takahara (author) (この著者で検索)Fumihiko Uesugi (author) (この著者で検索)National Institute for Materials Science
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Koji Kimoto (author) (この著者で検索)National Institute for Materials Science
;
;Kiyou Shibata (author) (この著者で検索)Teruyasu Mizoguchi (author) (この著者で検索) - キーワード
- Machine learning, ELNES, XANES, PDOS
- 刊行年月日
- 2024-08-15
- 更新時刻
- 2024-10-02 12:30:19 +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
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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
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
- ジャーナル論文
- 著者
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Ryo Tamura (author) (この著者で検索)National Institute for Materials Science
;
;Kenji Nagata (author) (この著者で検索);Keitaro Sodeyama (author) (この著者で検索);Kensaku Nakamura (author) (この著者で検索);Toshiki Tokuhira (author) (この著者で検索);Satoshi Shibata (author) (この著者で検索);Kazuki Hammura (author) (この著者で検索);Hiroki Sugisawa (author) (この著者で検索);Masaya Kawamura (author) (この著者で検索);Teruki Tsurimoto (author) (この著者で検索);Masanobu Naito (author) (この著者で検索)Masahiko Demura (author) (この著者で検索)National Institute for Materials Science
;
Takashi Nakanishi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Polypropylene, X-ray diffraction, Bayesian spectral deconvolution, Ising machine, Machine learning
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-08-30 16:31:01 +0900
Phase-separation induced dislocation-network cellular structures in Ti-Zr-Nb-Mo-Ta high-entropy alloy processed by laser powder bed fusion
- ジャーナル論文
- 著者
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;Han Chen (author) (この著者で検索);Daisuke Egusa (author) (この著者で検索);Zehao Li (author) (この著者で検索)National Institute for Materials ScienceTaisuke Sasaki (author) (この著者で検索)National Institute for Materials Science
;
;Ryosuke Ozasa (author) (この著者で検索);Takuya Ishimoto (author) (この著者で検索);Masayuki Okugawa (author) (この著者で検索);Yuichiro Koizumi (author) (この著者で検索);Takayoshi Nakano (author) (この著者で検索)Eiji Abe (author) (この著者で検索)
- キーワード
- High-entropy alloy, Laser powder bed fusion, Cellular structure, Phase separation, Dislocation-network, Electron microscopy, Machine learning
- 刊行年月日
- 2025-03-12
- 更新時刻
- 2025-04-08 13:16:16 +0900
Machine Learning Approach for Evaluation of Nanodefects and Magnetic Anisotropy in FePt Granular Films
- ジャーナル論文
- 著者
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;E. Dengina (author) (この著者で検索)National Institute for Materials ScienceA. Bolyachkin (author) (この著者で検索)National Institute for Materials Science
;
H. Sepehri-Amin (author) (この著者で検索)National Institute for Materials Science
;
K. Hono (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Magnetic recording, Micromagnetic simulations, Machine learning, FePt media
- 刊行年月日
- 2022-05-13
- 更新時刻
- 2024-10-15 16:30:13 +0900
Data-driven analysis of hydrogen embrittlement in martensitic steels with interpretable machine learning
- ジャーナル論文
- 著者
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Houichi Kitano (author) (この著者で検索)
;
Yuuji Kimura (author) (この著者で検索)
;
Akinobu Shibata (author) (この著者で検索)
- キーワード
- Hydrogen embrittlement, Martensitic steel, Machine learning, hap (shapley additive explanations), Symbolic regression
- 刊行年月日
- 2026-04-23
- 更新時刻
- 2026-06-17 09:57:29 +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
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
MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
- ジャーナル論文
- 著者
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Christophe Bajan (author) (この著者で検索)
;
Guillaume Lambard (author) (この著者で検索)
- キーワード
- Graphical user interface, Statistical analysis, Machine learning, Bayesian optimization, Process optimization, User-friendly
- 刊行年月日
- 2025-01-21
- 更新時刻
- 2025-01-27 12:30:30 +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