ファイル種別: application/pdf キーワード: Bayesian optimization
全ての絞り込みを解除

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
論文
著者
Akiyoshi Matsumoto SAMURAI ORCID ; Akimitsu Ishii SAMURAI ORCID ; Rei Kawasaki ; Takahiro Hosokawa ; Akiyasu Yamamoto 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
論文
著者
Jun Katagiri ORCID ; Masahiro Kusano SAMURAI ORCID ; Makoto Watanabe SAMURAI ORCID
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
口頭発表
著者
Xinyi Ji ; Lanting Zhang ; Hong Zhu ; Zhaozhe Zhong ; Jian Liu ; Zhanji Dong ; Zhongjie Peng ; Kaihong Ding
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
1-s2.0-S0169743925000085-main.pdf
MADGUI: Multi-Application Design Graphical User Interface for active learning assisted by Bayesian optimization
論文
著者
Christophe Bajan SAMURAI ORCID ; Guillaume Lambard SAMURAI ORCID
キーワード
Graphical user interface, Statistical analysis, Machine learning, Bayesian optimization, Process optimization, User-friendly
刊行年月日
2025-01-21
更新時刻
2025-01-27 12:30:30 +0900
seminar_BO_Junier.pdf
Bayesian optimization, an active learning method for optimising experimental parameters
口頭発表
著者
LAMBARD Guillaume ; BAJAN Christophe Marie Olivier
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
論文
著者
Yota Fukui ; Kosuke Minami SAMURAI ORCID ; Kota Shiba SAMURAI ORCID ; Genki Yoshikawa SAMURAI ORCID ; Koji Tsuda SAMURAI ORCID ; Ryo Tamura SAMURAI ORCID
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
論文
著者
Masahiro Kusano SAMURAI ORCID ; Makoto Watanabe SAMURAI ORCID
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
論文
著者
Tomoki Yamashita ; Shinichi Kanehira ; Nobuya Sato ; Hiori Kino ORCID ; Kei Terayama ; Hikaru Sawahata ; Takumi Sato ; Futoshi Utsuno ; Koji Tsuda SAMURAI ORCID ; Takashi Miyake SAMURAI ORCID ; Tamio Oguchi
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