Description:
(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.
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Keyword: all solid state batteries, solid electrolytes, first-principles calculations, molecular dynamics simulations, machine learning interatomic potentials
Date published: 2025-07-30
Publisher: Royal Society of Chemistry (RSC)
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Manuscript type: Author's version (Accepted manuscript)
MDR DOI: https://doi.org/10.48505/nims.6030
First published URL: https://doi.org/10.1039/d5ta03232f
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Updated at: 2026-04-30 12:01:11 +0900
Published on MDR: 2026-07-30 08:29:17 +0900
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