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- In Copyright (8)
- Creative Commons BY-NC Attribution-NonCommercial 4.0 International (2)
- Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International (1)
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28 件のレコードが見つかりました。
Machine Learning as a “Catalyst” for Advancements in Carbon Nanotube Research
- ジャーナル論文
- 著者
-
Guohai Chen (author) (この著者で検索)
https://orcid.org/0000-0001-8481-0972
(unauthenticated)
;
Dai-Ming Tang (author) (この著者で検索)
- キーワード
- machine learning, carbon nanotube, in situ TEM, growth mechanism
- 刊行年月日
- 2024-10-22
- 更新時刻
- 2024-12-24 13:58:23 +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
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
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
Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning
- ジャーナル論文
- 著者
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;Qianli Si (author) (この著者で検索)National Institute for Materials ScienceShoichi Matsuda (author) (この著者で検索)National Institute for Materials Science
;
;Yasunobu Ando (author) (この著者で検索);Toshiyuki Momma (author) (この著者で検索)Yoshitaka Tateyama (author) (この著者で検索)National Institute for Materials Science
- キーワード
- lithium metal battery, machine learning
- 刊行年月日
- 2025-05-05
- 更新時刻
- 2025-09-09 12:30:20 +0900
An interpretable linear model bridging data-driven analysis and chemical intuition for Eu 2+ -phosphor emissions
- ジャーナル論文
- 著者
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Yukinori Koyama (author) (この著者で検索)
;
;Ryusei Hayasaka (author) (この著者で検索)Yuta Matsushima (author) (この著者で検索)
https://orcid.org/0000-0001-5826-1551
(unauthenticated)
;
Takayuki Nakanishi (author) (この著者で検索)
;
Takashi Takeda (author) (この著者で検索)
;
Naoto Hirosaki (author) (この著者で検索)
- キーワード
- materials informatics, phosphor, europium, machine learning, interpretability, linear model, composition-based feature
- 刊行年月日
- 2026-12-31
- 更新時刻
- 2026-07-07 14:31:04 +0900
Unveiling the principle descriptor for predicting the electron inelastic mean free path based on a machine learning framework
- ジャーナル論文
- 著者
-
;Xun Liu (author) (この著者で検索)National Institute for Materials Science;Zhufeng Hou (author) (この著者で検索);Dabao Lu (author) (この著者で検索)Bo Da (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, LASSO
- 刊行年月日
- 2019-12-31
- 更新時刻
- 2024-09-05 16:30:30 +0900
Discovery of liquid crystalline polymers with high thermal conductivity using machine learning
- ジャーナル論文
- 著者
-
Hayato Maeda (author) (この著者で検索)
https://orcid.org/0009-0004-1662-8000
(unauthenticated)
;
Stephen Wu (author) (この著者で検索)
https://orcid.org/0000-0002-7847-8106
(unauthenticated)
;
Rika Marui (author) (この著者で検索)
https://orcid.org/0009-0009-2506-1196
(unauthenticated)
;
;Erina Yoshida (author) (この著者で検索);Kan Hatakeyama-Sato (author) (この著者で検索);Yuta Nabae (author) (この著者で検索);Shiori Nakagawa (author) (この著者で検索);Meguya Ryu (author) (この著者で検索);Ryohei Ishige (author) (この著者で検索);Yoh Noguchi (author) (この著者で検索)Yoshihiro Hayashi (author) (この著者で検索)
https://orcid.org/0000-0002-7650-4083
(unauthenticated)
;
Masashi Ishii (author) (この著者で検索)
;
Isao Kuwajima (author) (この著者で検索)
;
;Felix Jiang (author) (この著者で検索);Xuan Thang Vu (author) (この著者で検索)Sven Ingebrandt (author) (この著者で検索)
https://orcid.org/0000-0002-0405-2727
(unauthenticated)
;
;Masatoshi Tokita (author) (この著者で検索)Junko Morikawa (author) (この著者で検索)
https://orcid.org/0000-0002-9530-9478
(unauthenticated)
;
Ryo Yoshida (author) (この著者で検索)
https://orcid.org/0000-0001-8092-0162
(unauthenticated)
;
Teruaki Hayakawa (author) (この著者で検索)
- キーワード
- liquid crystalline polymer, thermal conductivity, machine learning, PoLyInfo
- 刊行年月日
- 2025-07-02
- 更新時刻
- 2025-08-19 12:30:21 +0900
Pitfalls in Artificial Intelligence Powered Discovery Due to Electrocatalyst Evaluation Methodologies
- ジャーナル論文
- 著者
-
;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
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
-
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