ウー イェン ルー
(Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Inorganic Materials Group, National Institute for Materials Science
)
;
徐 一斌
(Center for Basic Research on Materials/Data-driven Materials Research Field/Data-driven Inorganic Materials Group, National Institute for Materials Science
)
説明:
(abstract)This study presents data-driven insights into the key factors influencing Li diffusion in garnet ionic conductors and their implications for design and optimization. Understanding and enhancing Li diffusion in these materials is crucial for advancing energy storage technologies. Descriptors related to structure, composition, atomic environment, conduction pathway, and substitution are employed to analyze Li diffusion in garnet structures. Through extensive correlation analysis, we establish a clear relationship between Li ionic conduction and important factors, including Li concentration, Li occupancy (96h), and substitution at A (24d) and D (16a) sites. Additionally, we observe that heterovalent disorder resulting from A site substitution affects the atomic environment of Li ions, while sublattice disorder through D site substitution influences the Li-Li distance. These data-driven findings offer valuable insights for optimizing the design and synthesis of garnet ionic conductors with enhanced conductivity. Future investigations may focus on further experimental validation and the development of strategies to improve Li diffusion and conductivity, thereby paving the path for progress in the field of ionic conductors and their application in energy storage systems.
権利情報:
キーワード: Li ionic conductors, cubic garnet, occupancy, descriptors, Li diffusion
会議:
The 7th Asian Materials Data Symposium
(2023-10-25 - 2023-10-27)
研究助成金:
原稿種別: 論文以外のデータ
MDR DOI: https://doi.org/10.48505/nims.4254
公開URL:
関連資料:
その他の識別子:
連絡先:
更新時刻: 2023-11-06 15:06:12 +0900
MDRでの公開時刻: 2023-11-07 13:30:09 +0900
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7th-AMDS-abstract.pdf
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サイズ | 72.8KB | 詳細 |