29 件のレコードが見つかりました。
Efficient autonomous material search method combining ab initio calculations, autoencoder, and multi-objective Bayesian optimization
- ジャーナル論文
- 著者
-
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
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
-
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
Determination of Stable Proton Configurations by Black-Box Optimization Using an Ising Machine
- ジャーナル論文
- 著者
-
;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
Elemental Reactivity Maps for Materials Discovery
- ジャーナル論文
- 著者
-
Yuki Inada (author) (この著者で検索)
https://orcid.org/0000-0002-9104-1320
(unauthenticated)
;
Masaya Fujioka (author) (この著者で検索)
https://orcid.org/0000-0002-5829-6591
(unauthenticated)
;
;Haruhiko Morito (author) (この著者で検索)Tohru Sugahara (author) (この著者で検索)
https://orcid.org/0000-0001-5842-5392
(unauthenticated)
;
Hisanori Yamane (author) (この著者で検索)
https://orcid.org/0000-0002-7931-5210
(unauthenticated)
;
Yukari Katsura (author) (この著者で検索)
- キーワード
- Crystal structure, Elements, Machine learning, Materials, Reactivity
- 刊行年月日
- 2025-03-25
- 更新時刻
- 2026-02-21 16:30:08 +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
-
;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
Quasicrystals predicted and discovered by machine learning
- ジャーナル論文
- 著者
-
;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
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
-
;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
Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion
- ジャーナル論文
- 著者
-
;Naoki Yamane (author) (この著者で検索)Tsukuba University;Kan Hatakeyama-Sato (author) (この著者で検索)東京工業大学Yuma Iwasaki (author) (この著者で検索)National Institute for Materials Science Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Materials Design Group
;
Yasuhiko Igarashi (author) (この著者で検索)Tsukuba University
- キーワード
- Machine learning
- 刊行年月日
- 2024-12-31
- 更新時刻
- 2024-11-14 16:30:30 +0900
Autonomous closed-loop exploration of composition-spread films for the anomalous Hall effect
- ジャーナル論文
- 著者
-
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
Exploring new useful phosphors by combining experiments with machine learning
- ジャーナル論文
- 著者
-
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