30 件のレコードが見つかりました。
High-throughput materials exploration system for the anomalous Hall effect using combinatorial experiments and machine learning
- ジャーナル論文
- 著者
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Ryo Toyama (author) (この著者で検索)
;
Yuma Iwasaki (author) (この著者で検索)
;
Prabhanjan D. Kulkarni (author) (この著者で検索)
;
Hirofumi Suto (author) (この著者で検索)
;
Tomoya Nakatani (author) (この著者で検索)
;
Yuya Sakuraba (author) (この著者で検索)
- キーワード
- Machine learning, High-throughput, Combinatorial, Anomalous Hall effect
- 刊行年月日
- 2025-09-03
- 更新時刻
- 2025-12-26 13:11:05 +0900
Autonomous search for materials with high Curie temperature using ab initio calculations and machine learning
- ジャーナル論文
- 著者
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Yuma Iwasaki (author) (この著者で検索)
- キーワード
- Machine learning, Autonomous, Curie temperature, ab initio
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-10-04 08:30:28 +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
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
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
Automated synthesis and fragment descriptor-based machine learning for retention time prediction in supercritical fluid chromatography
- ジャーナル論文
- 著者
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;Sitanan Sartyoungkul (author) (この著者で検索);Balasubramaniyan Sakthivel (author) (この著者で検索)Pavel Sidorov (author) (この著者で検索)
https://orcid.org/0000-0001-6462-702X
(unauthenticated)
;
Yuuya Nagata (author) (この著者で検索)
https://orcid.org/0000-0001-5926-5845
(unauthenticated)
- キーワード
- Automated synthesis, Fragment descriptor, Machine learning, Retention time prediction, Supercritical fluid chromatography
- 刊行年月日
- 2025-11-26
- 更新時刻
- 2025-12-24 15:05:55 +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
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
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
;
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
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
- ジャーナル論文
- 著者
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;Jianbo Lin (author) (この著者で検索)Tomofumi Tada (author) (この著者で検索)
https://orcid.org/0000-0003-3093-3779
(unauthenticated)
;
;Ai Koizumi (author) (この著者で検索)Masato Sumita (author) (この著者で検索)
https://orcid.org/0000-0002-3506-1028
(unauthenticated)
;
Koji Tsuda (author) (この著者で検索)
;
Ryo Tamura (author) (この著者で検索)
- キーワード
- Machine learning, Ising machine, Proton configuration
- 刊行年月日
- 2025-02-06
- 更新時刻
- 2025-05-23 08:30:18 +0900