5 件のレコードが見つかりました。 1件目から5件目まで表示します。
Structure Prediction from Chemical Formula Using Periodic Descriptors
- プレゼンテーション
- 著者
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Yen-Ju Wu (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 Inorganic Materials Group
;
Yibin Xu (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 Inorganic Materials Group
- キーワード
- periodic descriptor, structure prediction, machine learning, template substitution
- 刊行年月日
- 更新時刻
- 2025-09-13 08:30:19 +0900
Theoretical investigation of oxidation mechanism in Ti and its alloys
- プロシーディングス論文
- 著者
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Ryoji Sahara (author) (この著者で検索)National Institute for Materials Science Research Center for Structural Materials/Materials Evaluation Field/Computational Structural Materials Group
;
;Somesh Kr. Bhattacharya (author) (この著者で検索)National Institute for Materials Science Research Center for Structural Materials/Design and Producing Field/Computational Structural Materials Group;Kanika Kohli (author) (この著者で検索)Indian Institute of Science Education and Research Pune;Prasenjit Ghosh (author) (この著者で検索)Indian Institute of Science Education and Research Pune;Kyosuke Ueda (author) (この著者で検索)Tohoku Univ.Takayuki Narushima (author) (この著者で検索)Tohoku Univ.
- キーワード
- high temperature oxidation, parabolic rate constant, first principles calculations, machine learning, electronegativity
- 刊行年月日
- 更新時刻
- 2024-10-18 16:30:37 +0900
Estimating the S-N Curve by Machine Learning Random Forest Method
- ジャーナル論文
- 著者
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Nobuo Nagashima (author) (この著者で検索)National Institute for Materials Science
;
Masao Hayakawa (author) (この著者で検索)National Institute for Materials Science
;
Hiroyuki Masuda (author) (この著者で検索)National Institute for Materials Science
;
Kotobu Nagai (author) (この著者で検索)National Institute for Materials Science
- 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
Multiobjective Solid Electrolyte Design of Tetragonal and Cubic Inverse-Perovskites for All-Solid-State Lithium-Ion Batteries by High-Throughput Density Functional Theory Calculations and AI-Driven Methods
- ジャーナル論文
- 著者
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JALEM Randy (author) (この著者で検索)National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group
;
TATEYAMA Yoshitaka (author) (この著者で検索)National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group
;
TAKADA Kazunori (author) (この著者で検索)National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Solid-State Battery Group
;
JANG Seonghoon (author) (この著者で検索)National Institute for Materials Science Research Center for Energy and Environmental Materials (GREEN)/Battery and Cell Materials Field/Interface Electrochemistry Group
- キーワード
- all solid state batteries, solid electrolytes, density functional theory, materials informatics, machine learning, novel materials search
- 刊行年月日
- 2023-09-07
- 更新時刻
- 2024-08-28 08:30:15 +0900
Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers
- ジャーナル論文
- 著者
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Chiaki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
;
;Duc Anh Nguyen (author) (この著者で検索);Tadashi Nakaji-Hirabayashi (author) (この著者で検索);Ichigaku Takigawa (author) (この著者で検索)Hiroshi Mamitsuka (author) (この著者で検索)
- 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