Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
- ジャーナル論文
- 著者
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Yuma Iwasaki (author) (この著者で検索)
;
Hwang Jaekyun (author) (この著者で検索)
https://orcid.org/0000-0002-1792-0044
(unauthenticated)
;
Yuya Sakuraba (author) (この著者で検索)
;
Masato Kotsugi (author) (この著者で検索)
https://orcid.org/0000-0002-4841-1808
(unauthenticated)
;
Yasuhiko Igarashi (author) (この著者で検索)
https://orcid.org/0000-0003-1042-6657
(unauthenticated)
- キーワード
- autonomous materials search, ab-initio, Machine learning
- 刊行年月日
- 2022-12-31
- 更新時刻
- 2024-01-05 22:14:05 +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 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
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
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
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
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