9 件のレコードが見つかりました。
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
Er-driven magnetic tunability in FePt thin films investigated via high-throughput experiments and microstructure analysis for future HAMR media
- ジャーナル論文
- 著者
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Daisuke Ogawa (author) (この著者で検索)National Institute for Materials Science
;
Yuma Iwasaki (author) (この著者で検索)National Institute for Materials Science
;
Jun Uzuhashi (author) (この著者で検索)National Institute for Materials Science
;
Yuta Sasaki (author) (この著者で検索)National Institute for Materials Science
;
;Masato Kotsugi (author) (この著者で検索)Yukiko K. Takahashi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- heat-assisted magnetic recording, FePt, combinatorial, high throughput, machine learning, rare-earth doping
- 刊行年月日
- 2025-06-23
- 更新時刻
- 2025-07-11 08:30:48 +0900
Machine learning approach for the prediction of electron inelastic mean free paths
- ジャーナル論文
- 著者
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;Xun Liu (author) (この著者で検索)National Institute for Materials Science;Lihao Yang (author) (この著者で検索);Zhufeng Hou (author) (この著者で検索)Bo Da (author) (この著者で検索)National Institute for Materials Science
;
Kenji Nagata (author) (この著者で検索)National Institute for Materials Science
;
Hideki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
;
Shigeo Tanuma (author) (この著者で検索)National Institute for Materials Science
;
;Yang Sun (author) (この著者で検索)Zejun Ding (author) (この著者で検索)
- キーワード
- machine learning, inelastic mean free path
- 刊行年月日
- 2021-03-24
- 更新時刻
- 2024-01-05 22:13:49 +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
Pitfalls in Artificial Intelligence Powered Discovery Due to Electrocatalyst Evaluation Methodologies
- ジャーナル論文
- 著者
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;Abraham Castro Garcia (author) (この著者で検索)Ken Sakaushi (author) (この著者で検索)National Institute for Materials Science
- キーワード
- machine learning
- 刊行年月日
- 2025-09-04
- 更新時刻
- 2026-04-30 12:01:11 +0900
Automatic Extraction of Materials and Properties from Superconductors Scientific Literature
- ジャーナル論文
- 著者
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Foppiano Luca (author) (この著者で検索)NIMS MaDIS
;
Baptista de Castro, Pedro (author) (この著者で検索)
https://orcid.org/0000-0001-8673-2840
(unauthenticated)
NIMS MANA
;
Ortiz Suarez, Pedro (author) (この著者で検索)
https://orcid.org/0000-0003-0343-8852
(unauthenticated)
University of Mannheim Data and Web Science Group
;
Terashima, Kensei (author) (この著者で検索)
;
Takano, Yoshihiko (author) (この著者で検索)
;
Ishii, Masashi (author) (この著者で検索)
https://orcid.org/0000-0002-7721-9735
(unauthenticated)
NIMS MaDIS
- キーワード
- tdm, machine learning, materials science, superconductors, database
- 刊行年月日
- 2022-09-15
- 更新時刻
- 2022-10-16 01:44:51 +0900
Accelerating Materials Discovery of Novel Europium(II)-Activated Phosphors through Machine Learning Classification of Europium Valences
- ジャーナル論文
- 著者
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Yukinori Koyama (author) (この著者で検索)
;
Yukako Kohriki (author) (この著者で検索)
;
Masamichi Harada (author) (この著者で検索)
;
Naoto Hirosaki (author) (この著者で検索)
;
Takashi Takeda (author) (この著者で検索)
- キーワード
- phosphor, machine learning, europium, oxidation state
- 刊行年月日
- 2024-12-10
- 更新時刻
- 2025-11-25 08:30:03 +0900