説明:
(abstract)The solid electrolyte (SE) is a crucial component of all-solid-state batteries. Development of SEs with high ion conductivity needs an in-depth understanding of ion diffusion mechanisms. Recently, the influence of lattice dynamics on ion diffusion in Li-ion conductors has attracted widespread attention. In this study, we intensively investigated the ion diffusion mechanism in LixLa(2−x)/3TiO3 perovskite by means of highly efficient machine learning-based molecular dynamics simulations. We revealed that dynamic lattice deformation can trigger ion hopping, while local distortions of TiO6 octahedra adversely affect longrange ion diffusion. Based on the acquired design principles, a new model was constructed, which exhibits an encouragingly high ion conductivity for perovskite SEs. Besides, a new concerted diffusion mechanism with lattice deformation as the medium has been uncovered. This study provides a new mechanism demonstrating how lattice dynamics contributes to ion diffusion, potentially paving the way for developing high-performance SEs.
権利情報:
キーワード: all solid state batteries, solid electrolytes, first-principles calculations, molecular dynamics simulations, machine learning interatomic potentials
刊行年月日: 2025-07-30
出版者: Royal Society of Chemistry (RSC)
掲載誌:
研究助成金:
原稿種別: 著者最終稿 (Accepted manuscript)
MDR DOI: https://doi.org/10.48505/nims.6030
公開URL: https://doi.org/10.1039/d5ta03232f
関連資料:
その他の識別子:
連絡先:
更新時刻: 2026-04-30 12:01:11 +0900
MDRでの公開時刻: 2026-07-30 08:29:17 +0900
| ファイル名 | サイズ | |||
|---|---|---|---|---|
| ファイル名 |
LLTO_main.pdf
(サムネイル)
application/pdf |
サイズ | 2.8MB | 詳細 |