Essential structural and experimental descriptors for bulk and grain boundary conductivities of Li solid electrolytes
- ジャーナル論文
- 著者
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Yen-Ju Wu (author) (この著者で検索)National Institute for Materials Science
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;Takehiro Tanaka (author) (この著者で検索);Tomoyuki Komori (author) (この著者で検索);Mikiya Fujii (author) (この著者で検索);Hiroshi Mizuno (author) (この著者で検索)Satoshi Itoh (author) (この著者で検索)
https://orcid.org/0000-0002-8139-582X
(unauthenticated)
National Institute for Materials Science
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;Tadanobu Takada (author) (この著者で検索)Erina Fujita (author) (この著者で検索)National Institute for Materials Science
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Yibin Xu (author) (この著者で検索)National Institute for Materials Science
- キーワード
- Ionic conductivity, machine learning, grain boundary, ionic conductor, Li battery, grain size, descriptor
- 刊行年月日
- 2020-01-31
- 更新時刻
- 2024-01-05 22:11:22 +0900
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
Enhancing oxygen reduction reaction mass activity in polymer electrolyte fuel cells via molecular machine learning
- ジャーナル論文
- 著者
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Ekaterina Gracheva (author) (この著者で検索)
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;Shin-ichi Yamazaki (author) (この著者で検索)Guillaume Lambard (author) (この著者で検索)
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Keitaro Sodeyama (author) (この著者で検索)
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;Tsutomu Ioroi (author) (この著者で検索)Masafumi Asahi (author) (この著者で検索)
https://orcid.org/0000-0002-2122-3073
(unauthenticated)
- キーワード
- materials science, machine learning, chemoinformatics, polymer electrolyte fuel cell (PEFC), oxygen reduction reaction, active learning
- 刊行年月日
- 2026-08-01
- 更新時刻
- 2026-08-26 16:18:22 +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
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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
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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
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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
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)
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;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)
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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