29 件のレコードが見つかりました。
Lung cancer detection in perioperative patients' exhaled breath with nanomechanical sensor array
- ジャーナル論文
- 著者
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;Yusuke Saeki (author) (この著者で検索);Naoki Maki (author) (この著者で検索);Takahiro Nemoto (author) (この著者で検索)National Institute for Materials Science;Katsushige Inada (author) (この著者で検索)Kosuke Minami (author) (この著者で検索)National Institute for Materials Science
;
Ryo Tamura (author) (この著者で検索)National Institute for Materials Science
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Gaku Imamura (author) (この著者で検索)National Institute for Materials Science
;
;Yukiko Cho-Isoda (author) (この著者で検索);Shinsuke Kitazawa (author) (この著者で検索);Hiroshi Kojima (author) (この著者で検索)Genki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
;
Yukio Sato (author) (この著者で検索) - キーワード
- Lung cancer, Breath analysis, Electronic nose (e-nose), Membrane-type Surface stress Sensor (MSS), Machine learning
- 刊行年月日
- 2024-02-25
- 更新時刻
- 2025-02-25 12:30:08 +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
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
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
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
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
Active learning for predicting the enthalpy of mixing in binary liquids based on ab initio molecular dynamics
- ジャーナル論文
- 著者
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Quentin Bizot (author) (この著者で検索)
https://orcid.org/0000-0002-4314-2266
(unauthenticated)
;
Ryo Tamura (author) (この著者で検索)
;
Guillaume Deffrennes (author) (この著者で検索)
https://orcid.org/0000-0002-3752-2537
(unauthenticated)
- キーワード
- CALPHAD, Machine learning
- 刊行年月日
- 2026-02-07
- 更新時刻
- 2026-04-01 13:44:57 +0900
Autonomous closed-loop exploration of composition-spread films for the anomalous Hall effect
- ジャーナル論文
- 著者
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Ryo Toyama (author) (この著者で検索)
;
Ryo Tamura (author) (この著者で検索)
;
Shoichi Matsuda (author) (この著者で検索)
;
Yuma Iwasaki (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, Autonomous, Combinatorial, Anomalous Hall effect
- 刊行年月日
- 2025-11-19
- 更新時刻
- 2025-12-25 17:32:06 +0900
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
- ジャーナル論文
- 著者
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Lambard, Guillaume (author) (この著者で検索)
;
Naito, Masanobu (author) (この著者で検索)
;
Samitsu, Sadaki (author) (この著者で検索)
;
Pruksawan, Sirawit (author) (この著者で検索)
https://orcid.org/0000-0002-9380-1872
(unauthenticated)
;
Sodeyama, Keitaro (author) (この著者で検索)
- キーワード
- active learning, Machine learning, adhesive
- 刊行年月日
- 2019-12-31
- 更新時刻
- 2024-01-05 22:11:50 +0900