資源タイプ: ジャーナル論文 キーワード: Bayesian optimization
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Manuscript_240826_R1.pdf
Maximization of strength–ductility balance of dual-phase steels using generative adversarial networks and Bayesian optimization
ジャーナル論文
著者
Yoshihito Fukatsu (author) (この著者で検索)
Nagoya University
;
Ta-Te Chen (author) (この著者で検索)
Nagoya University
;
Toshio Ogawa (author) (この著者で検索)
Aichi Institute of Technology
;
Fei Sun (author) (この著者で検索)
Nagoya University
;
Ikumu Watanabe (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Mayumi Ojima (author) (この著者で検索)
JFE Steel Corporation
;
Shin Ishikawa (author) (この著者で検索)
JFE Steel Corporation
;
Yoshitaka Adachi (author) (この著者で検索)
Nagoya University
キーワード
Dual-phase steel, Strength–ductility balance, Generative adversarial networks, Bayesian optimization
刊行年月日
2024-09-15
更新時刻
2024-09-25 10:53:57 +0900
AMatsumoto_final.pdf
Development of Premix Internal-Magnesium-Diffusion MgB 2 Wire Using a Data-Driven Approach
ジャーナル論文
著者
ORCID SAMURAI ; ORCID SAMURAI ;
Rei Kawasaki (author) (この著者で検索)
;
Takahiro Hosokawa (author) (この著者で検索)
;
Akiyasu Yamamoto (author) (この著者で検索)
ORCID
キーワード
Internal magnesium diffusion, Process informatics, Bayesian optimization, MgB2, Premix-IMD
刊行年月日
2026-01-14
更新時刻
2026-01-30 16:30:04 +0900
Application of Bayesian optimization to the synthesis process of BaFe2(As,P)2 polycrystalline bulk superconducting materials.pdf
Application of Bayesian Optimization to the Synthesis Process of BaFe2(As,P)2 Polycrystalline Bulk Superconducting Materials
ジャーナル論文
著者
Akimitsu Ishii (author) (この著者で検索)
National Institute for Materials Science
ORCID SAMURAI ;
Shinjiro Kikuchi (author) (この著者で検索)
;
Akinori Yamanaka (author) (この著者で検索)
;
Akiyasu Yamamoto (author) (この著者で検索)
キーワード
Superconducting material, Bayesian optimization, Process informatics, Phase purity
刊行年月日
2023-08-01
更新時刻
2026-08-27 16:31:22 +0900
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
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