ファイル種別: application/pdf キーワード: Bayesian optimization

8 件のレコードが見つかりました。

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

jmmp-09-00383.pdf
Bayesian Optimization-Based Parameter Identification for Discrete Element Method Simulation of Consolidation and Its Application to Powder Spreading Analysis
ジャーナル論文
著者
Jun Katagiri (author) (この著者で検索)
National Institute for Materials Science
ORCID ;
Masahiro Kusano (author) (この著者で検索)
ORCID SAMURAI ;
Makoto Watanabe (author) (この著者で検索)
ORCID SAMURAI
キーワード
powder bed fusion laser melting, Bayesian optimization, discrete element method, parameter identification, consolidation, powder spreading
刊行年月日
2025-11-21
更新時刻
2025-12-17 11:34:14 +0900

REPM2025_O16-2_Zhang.pdf
Accelerated development of thermally stable Nd-Fe-B magnets with light rare-earth elements and their synergetic effects to temperature stability with Co
プレゼンテーション
コレクション
The 28th International Workshop on Rare Earth and Future Permanent Magnets and Their Applications (REPM2025)
著者
Xinyi Ji (author) (この著者で検索)
Shanghai Jiao Tong University, China
;
Lanting Zhang (author) (この著者で検索)
Shanghai Jiao Tong University, China
;
Hong Zhu (author) (この著者で検索)
Shanghai Jiao Tong University, China
;
Zhaozhe Zhong (author) (この著者で検索)
Toyota Motor Technical Research and Service (Shanghai) Co., Ltd, China
;
Jian Liu (author) (この著者で検索)
Toyota Motor Technical Research and Service (Shanghai) Co., Ltd, China
;
Zhanji Dong (author) (この著者で検索)
Yantai Dongxing Magnetic Materials Inc, China
;
Zhongjie Peng (author) (この著者で検索)
Yantai Dongxing Magnetic Materials Inc, China
;
Kaihong Ding (author) (この著者で検索)
Yantai Dongxing Magnetic Materials Inc, China
キーワード
REPM2025, Nd-Fe-B magnet, light rare-earth elements, Bayesian optimization, temperature stability, site occupation
刊行年月日
更新時刻
2025-09-11 16:31:51 +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

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

s40192-023-00334-2.pdf
Heat Source Model Development for Thermal Analysis of Laser Powder Bed Fusion Using Bayesian Optimization and Machine Learning
ジャーナル論文
著者
Masahiro Kusano (author) (この著者で検索)
ORCID SAMURAI ;
Makoto Watanabe (author) (この著者で検索)
ORCID SAMURAI
キーワード
Laser powder bed fusion, Thermal analysis, Heat source model, Laser scanning conditions, Bayesian optimization, Multiple linear regression
刊行年月日
2024-01-19
更新時刻
2024-04-09 12:30:20 +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)
ORCID SAMURAI ;
Takashi Miyake (author) (この著者で検索)
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