ファイル種別: application/pdf キーワード: Machine learning

21 件のレコードが見つかりました。

Autonomous search for half-metallic materials with B2 structure.pdf
Autonomous search for half-metallic materials with B 2 structure
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ;
Takahiro Yamazaki (author) (この著者で検索)
ORCID ;
Yasuhiko Igarashi (author) (この著者で検索)
ORCID ;
Masato Kotsugi (author) (この著者で検索)
ORCID ; ORCID SAMURAI
キーワード
Machine learning, Autonomous, ab initio, Half metal
刊行年月日
2024-12-31
更新時刻
2024-10-04 08:30:32 +0900

lin-et-al-2025-determination-of-stable-proton-configurations-by-black-box-optimization-using-an-ising-machine.pdf
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)
ORCID ;
Ai Koizumi (author) (この著者で検索)
;
Masato Sumita (author) (この著者で検索)
ORCID ; ORCID SAMURAI ; ORCID SAMURAI
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

1-s2.0-S135964542400692X-main.pdf
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
Cédric Bourgès (author) (この著者で検索)
National Institute for Materials Science
ORCID ;
Guillaume Lambard (author) (この著者で検索)
ORCID SAMURAI ;
Naoki Sato (author) (この著者で検索)
ORCID SAMURAI ;
Makoto Tachibana (author) (この著者で検索)
ORCID SAMURAI ;
Satoshi Ishii (author) (この著者で検索)
ORCID SAMURAI ;
Takao Mori (author) (この著者で検索)
ORCID SAMURAI
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

d3dd00215b.pdf
Automated odor-blending with one-pot Bayesian optimization
ジャーナル論文
著者
Yota Fukui (author) (この著者で検索)
;
Kosuke Minami (author) (この著者で検索)
ORCID SAMURAI ;
Kota Shiba (author) (この著者で検索)
ORCID SAMURAI ;
Genki Yoshikawa (author) (この著者で検索)
ORCID SAMURAI ;
Koji Tsuda (author) (この著者で検索)
ORCID SAMURAI ;
Ryo Tamura (author) (この著者で検索)
ORCID SAMURAI
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

takahara-et-al-2024-toward-the-atomic-level-analysis-of-ground-state-electronic-structures-of-solid-materials-via.pdf
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)
ORCID SAMURAI ;
Koji Kimoto (author) (この著者で検索)
ORCID SAMURAI ;
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

Manuscript.pdf
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)
ORCID SAMURAI ;
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
ORCID ;
Shima Ito (author) (この著者で検索)
ORCID SAMURAI ;
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)
ORCID SAMURAI ;
Guillaume Lambard (author) (この著者で検索)
ORCID SAMURAI ;
Keitaro Sodeyama (author) (この著者で検索)
ORCID SAMURAI ;
Tetsushi Taguchi (author) (この著者で検索)
ORCID SAMURAI
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

Extraction of physicochemical laws by symbolic regression using a Bayesian information criterion.pdf
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
ORCID SAMURAI ;
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