16 件のレコードが見つかりました。
2023 Roadmap on molecular modelling of electrochemical energy materials
- ジャーナル論文
- 著者
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;Chao Zhang (author) (この著者で検索);Jun Cheng (author) (この著者で検索);Yiming Chen (author) (この著者で検索);Maria K Y Chan (author) (この著者で検索);Qiong Cai (author) (この著者で検索);Rodrigo P Carvalho (author) (この著者で検索);Cleber F N Marchiori (author) (この著者で検索);Daniel Brandell (author) (この著者で検索);C Moyses Araujo (author) (この著者で検索);Ming Chen (author) (この著者で検索);Xiangyu Ji (author) (この著者で検索);Guang Feng (author) (この著者で検索);Kateryna Goloviznina (author) (この著者で検索);Alessandra Serva (author) (この著者で検索);Mathieu Salanne (author) (この著者で検索)Toshihiko Mandai (author) (この著者で検索)National Institute for Materials Science (NIMS)
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;Tomooki Hosaka (author) (この著者で検索);Mirna Alhanash (author) (この著者で検索);Patrik Johansson (author) (この著者で検索);Yun-Ze Qiu (author) (この著者で検索);Hai Xiao (author) (この著者で検索);Michael Eikerling (author) (この著者で検索);Ryosuke Jinnouchi (author) (この著者で検索);Marko M Melander (author) (この著者で検索);Georg Kastlunger (author) (この著者で検索);Assil Bouzid (author) (この著者で検索);Alfredo Pasquarello (author) (この著者で検索);Seung-Jae Shin (author) (この著者で検索);Minho M Kim (author) (この著者で検索);Hyungjun Kim (author) (この著者で検索);Kathleen Schwarz (author) (この著者で検索)Ravishankar Sundararaman (author) (この著者で検索) - 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
Self-Energy Spectroscopy and Artificial Neural Network
- ジャーナル論文
- 著者
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Youhei Yamaji (author) (この著者で検索)
- キーワード
- machine learning, quantum materials, photoemission spectroscopy, high-temperature superconductivity
- 刊行年月日
- 2025-03-15
- 更新時刻
- 2025-02-27 12:30:42 +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
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;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
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Hideki Yoshikawa (author) (この著者で検索)National Institute for Materials Science
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Shigeo Tanuma (author) (この著者で検索)National Institute for Materials Science
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;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
Computational discovery of stable Na-ion sulfide solid electrolytes with high conductivity at room temperature
- ジャーナル論文
- 著者
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Seong-Hoon Jang (author) (この著者で検索)
https://orcid.org/0000-0001-6026-636X
(unauthenticated)
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Randy Jalem (author) (この著者で検索)National Institute for Materials Science
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Yoshitaka Tateyama (author) (この著者で検索)National Institute for Materials Science
- キーワード
- all solid state batteries, solid electrolytes, high-throughput first-principles calculation, computational materials search, machine learning, sodium ion conductors
- 刊行年月日
- 2024-08-05
- 更新時刻
- 2024-10-10 16:30:52 +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
Automatic Threshold Prediction of Photoelectron Yield Spectroscopy (PYS) by Machine Learning
- ジャーナル論文
- 著者
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YAGYU, Shinjiro (author) (この著者で検索)
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;YOSHITAKE, Michiko (author) (この著者で検索)CHIKYOW, Toyohiro (author) (この著者で検索)
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NAGATA, Takahiro (author) (この著者で検索)
- キーワード
- threshold, machine learning, photoelectron yield spectroscopy
- 刊行年月日
- 2020-06-10
- 更新時刻
- 2024-01-05 22:12:44 +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
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;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
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)
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Yukako Kohriki (author) (この著者で検索)
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Masamichi Harada (author) (この著者で検索)
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Naoto Hirosaki (author) (この著者で検索)
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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
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
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Masao Hayakawa (author) (この著者で検索)National Institute for Materials Science
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Hiroyuki Masuda (author) (この著者で検索)National Institute for Materials Science
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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
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
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Yuma Iwasaki (author) (この著者で検索)National Institute for Materials Science
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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
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;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