ライセンス: Creative Commons BY Attribution 4.0 International キーワード: Bayesian optimization
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CrySPY a crystal structure prediction tool accelerated by machine learning.pdf
CrySPY: a crystal structure prediction tool accelerated by machine learning
ジャーナル論文
著者
Tomoki Yamashita (author) (この著者で検索)
;
Shinichi Kanehira (author) (この著者で検索)
;
Nobuya Sato (author) (この著者で検索)
;
Hiori Kino (author) (この著者で検索)
National Institute for Materials Science
ORCID ;
Kei Terayama (author) (この著者で検索)
;
Hikaru Sawahata (author) (この著者で検索)
;
Takumi Sato (author) (この著者で検索)
;
Futoshi Utsuno (author) (この著者で検索)
;
Koji Tsuda (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Takashi Miyake (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Tamio Oguchi (author) (この著者で検索)
キーワード
crystal structure prediction, Bayesian optimization, LAQA, first-principles calculations, evolutionary algorithm
刊行年月日
2021-01-01
更新時刻
2024-04-02 23:51:18 +0900
seminar_BO_Junier.pdf
Bayesian optimization, an active learning method for optimising experimental parameters
プレゼンテーション
著者
LAMBARD Guillaume (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
;
BAJAN Christophe Marie Olivier (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
キーワード
Bayesian optimization, Active learning
刊行年月日
更新時刻
2024-12-23 12:30:48 +0900
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