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[Research Highlights Vol.45] Artificial Intelligence Learns to Predict Photo-Functional Molecules
- 雑誌
- コレクション
- Research Highlights
- 著者
-
International Center for Materials Nanoarchitectonics (WPI-MANA) (author) (この著者で検索)National Institute for Materials Science
- キーワード
- artificial intelligence, organic molecules, molecule design, density functional theory, photofunctional molecules
- 刊行年月日
- 2018-12-20
- 更新時刻
- 2023-12-25 00:30:22 +0900
Machine learning approach for the prediction of electron inelastic mean free paths
- ジャーナル論文
- 著者
-
;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
Machine learning study of highly spin-polarized Heusler alloys at finite temperature
- ジャーナル論文
- 著者
-
Ivan Kurniawan (author) (この著者で検索)National Institute for Materials Science
;
Yoshio Miura (author) (この著者で検索)National Institute for Materials Science
;
Kazuhiro Hono (author) (この著者で検索)National Institute for Materials Science
- キーワード
- spintronics, half-metal, Heusler alloy, machine learning, disordered local moment, Bayesian optimization
- 刊行年月日
- 2022-09-14
- 更新時刻
- 2024-01-05 22:14:00 +0900
Estimating the S-N Curve by Machine Learning Random Forest Method
- ジャーナル論文
- 著者
-
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
[Research Highlights Vol. 92]MANA Scientists Employ Active Machine Learning to Enhance Thermoelectric Performance of Materials
- 雑誌
- コレクション
- Research Highlights
- 著者
-
International Center for Materials Nanoarchitectonics (WPI-MANA) (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Kesterite, Thermoelectric Properties, Machine Learning, Process Optimization, Ceramics
- 刊行年月日
- 2025-01-20
- 更新時刻
- 2025-02-13 15:42:03 +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
-
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
Estimation of Texture-Dependent Stress-Strain Curve and r-Value of Aluminum Alloy Sheet Using Deep Learning
- ジャーナル論文
- 著者
-
;Kohta Koenuma (author) (この著者で検索);Akinori Yamanaka (author) (この著者で検索)Ikumu Watanabe (author) (この著者で検索)National Institute for Materials Science
;
Toshihiko Kuwabara (author) (この著者で検索)
- キーワード
- texture, tension test, numerical analysis, crystallite orientation, flow stress, deep learning
- 刊行年月日
- 2020-12-01
- 更新時刻
- 2024-01-05 22:12:43 +0900
Surface Nanostructures of Pt-Compositionally Complex Alloy Single-Crystal Model Catalyst Surfaces for Improved Oxygen Reduction Reaction: Machine-Learning-Assisted Exploration
- ジャーナル論文
- 著者
-
;Yoshihiro Chida (author) (この著者で検索)Sae Dieb (author) (この著者で検索)National Institute for Materials Science
;
;Hiraku Masui (author) (この著者で検索);Arata Umehara (author) (この著者で検索)Keitaro Sodeyama (author) (この著者で検索)National Institute for Materials Science
;
Toshimasa Wadayama (author) (この著者で検索)
- キーワード
- compositionally complex alloy, materials informatics, Catalysts, oxygen reduction reaction
- 刊行年月日
- 2025-04-16
- 更新時刻
- 2026-02-14 22:06:22 +0900
Principal deuterium Hugoniot via quantum Monte Carlo and -learning
- ジャーナル論文
- 著者
-
;Giacomo Tenti (author) (この著者で検索)Kousuke Nakano (author) (この著者で検索)National Institute for Materials Science
;
;Andrea Tirelli (author) (この著者で検索);Sandro Sorella (author) (この著者で検索)Michele Casula (author) (この著者で検索)
- キーワード
- 第一原理量子モンテカルロ法, 高圧水素, 機械学習ポテンシャル, 分子動力学計算
- 刊行年月日
- 2024-07-01
- 更新時刻
- 2024-08-21 16:30:24 +0900
Machine-Learning-Driven Discovery of Mn4+-Doped Red-Emitting Fluorides with Short Excited-State Lifetime and High Efficiency for Mini Light-Emitting Diode Displays
- ジャーナル論文
- 著者
-
Hong Ming (author) (この著者で検索)
https://orcid.org/0000-0003-0118-1897
(unauthenticated)
;
;Yayun Zhou (author) (この著者で検索)Maxim S. Molokeev (author) (この著者で検索)
https://orcid.org/0000-0002-8297-0945
(unauthenticated)
;
;Chuang Zhang (author) (この著者で検索);Lin Huang (author) (この著者で検索);Yuanjing Wang (author) (この著者で検索)Hong-Tao Sun (author) (この著者で検索)
;
Enhai Song (author) (この著者で検索)
https://orcid.org/0000-0003-1666-0532
(unauthenticated)
;
Qinyuan Zhang (author) (この著者で検索)
https://orcid.org/0000-0001-6544-4735
(unauthenticated)
- キーワード
- luminescent materials, machine learning
- 刊行年月日
- 2024-05-06
- 更新時刻
- 2025-04-03 08:30:20 +0900