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
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
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 odor-blending with one-pot Bayesian optimization
- ジャーナル論文
- 著者
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;Yota Fukui (author) (この著者で検索)Kosuke Minami (author) (この著者で検索)National Institute for Materials Science
;
Kota Shiba (author) (この著者で検索)National Institute for Materials Science
;
Genki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
;
Koji Tsuda (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
- キーワード
- Machine learning, MSS, Bayesian optimization, Olfactory sensor
- 刊行年月日
- 2024-04-16
- 更新時刻
- 2024-06-10 12:30:19 +0900
Improving efficiency of autonomous material search via transfer learning from nontarget properties
- ジャーナル論文
- 著者
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;Jaekyun Hwang (author) (この著者で検索)National Institute for Materials ScienceYuma Iwasaki (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Machine learning
- 刊行年月日
- 2023-12-31
- 更新時刻
- 2024-01-05 22:11:31 +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
Data-driven optimization of FePt heat-assisted magnetic recording media accelerated by deep learning TEM image segmentation
- ジャーナル論文
- 著者
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N. Kulesh (author) (この著者で検索)National Institute for Materials Science
;
A. Bolyachkin (author) (この著者で検索)National Institute for Materials Science
;
I. Suzuki (author) (この著者で検索)
https://orcid.org/0000-0002-8932-8226
(unauthenticated)
National Institute for Materials Science
;
Y.K. Takahashi (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
- Heat-assisted magnetic recording (HAMR), FePt, Deep learning, Machine learning, Image segmentation
- 刊行年月日
- 2023-05-27
- 更新時刻
- 2025-05-27 08:30:20 +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
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