キーワード: machine learning

48 件のレコードが見つかりました。

Manuscript.pdf
Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
論文
著者
Chiaki Yoshikawa SAMURAI ORCID ; Duc Anh Nguyen ; Tadashi Nakaji-Hirabayashi ; Ichigaku Takigawa ; Hiroshi Mamitsuka
キーワード
cellulose nanofiber, concentrated polymer brush, hMSC, self-assembly, machine learning
刊行年月日
2024-04-08
更新時刻
2024-08-27 08:30:31 +0900

Comments.pdf
Revolutionizing electronics with advanced interfacial heat management
論文
著者
Yen-Ju Wu SAMURAI ORCID
キーワード
Interfacial thermal resistance, thermal management, electronics, machine learning
刊行年月日
2024-07-17
更新時刻
2024-08-27 16:30:21 +0900

Semi-automatic staging area for high-quality structured data extraction from scientific literature.pdf
Semi-automatic staging area for high-quality structured data extraction from scientific literature
論文
著者
Luca Foppiano ORCID ; Tomoya Mato SAMURAI ORCID ; Kensei Terashima SAMURAI ORCID ; Pedro Ortiz Suarez ; Taku Tou ; Chikako Sakai ORCID ; Wei-Sheng Wang ORCID ; Toshiyuki Amagasa ; Yoshihiko Takano SAMURAI ORCID ; Masashi Ishii SAMURAI ORCID
キーワード
materials informatics, superconductors, machine learning, database, tdm
刊行年月日
2023-12-31
更新時刻
2024-07-11 16:30:24 +0900

STAMMethods4(2024)2326305.pdf
Alloys innovation through machine learning: a statistical literature review
論文
著者
Alireza Valizadeh ; Ryoji Sahara SAMURAI ORCID ; Maaouia Souissi
キーワード
Alloy development, machine learning, data-driven research, materials informatics, Materials Genome Initiative, Materials databases
刊行年月日
2024-12-31
更新時刻
2024-06-25 12:30:16 +0900

Estimation the S-N Curve by Machine Learning Random Forest Method_Mater. Trans. 65(2024)428-433.pdf
Estimating the S-N Curve by Machine Learning Random Forest Method
論文
著者
Nobuo Nagashima SAMURAI ORCID ; Masao Hayakawa SAMURAI ORCID ; Hiroyuki Masuda SAMURAI ORCID ; Kotobu Nagai
キーワード
fatigue, high-cycle fatigue, data-sheet, machine learning, random forest method
刊行年月日
2024-04-01
更新時刻
2024-12-27 16:30:58 +0900

74_Roadmap_J Phys Energy 2023_Roadmap on molecular modelling of electrochemical energy materials.pdf
2023 Roadmap on molecular modelling of electrochemical energy materials
論文
著者
Chao Zhang ; Jun Cheng ; Yiming Chen ; Maria K Y Chan ; Qiong Cai ; Rodrigo P Carvalho ; Cleber F N Marchiori ; Daniel Brandell ; C Moyses Araujo ; Ming Chen ; Xiangyu Ji ; Guang Feng ; Kateryna Goloviznina ; Alessandra Serva ; Mathieu Salanne ; Toshihiko Mandai SAMURAI ORCID ; Tomooki Hosaka ; Mirna Alhanash ; Patrik Johansson ; Yun-Ze Qiu ; Hai Xiao ; Michael Eikerling ; Ryosuke Jinnouchi ; Marko M Melander ; Georg Kastlunger ; Assil Bouzid ; Alfredo Pasquarello ; Seung-Jae Shin ; Minho M Kim ; Hyungjun Kim ; Kathleen Schwarz ; Ravishankar Sundararaman
キーワード
electrochemical interfaces, density-functional theory, molecular dynamics simulation, electrochemical energy storage, machine learning, electrocatalysis
刊行年月日
2023-10-01
更新時刻
2024-03-22 00:53:39 +0900