Revealing cobalt-induced Li-ion trapping at the LATP/LCO interface with a fine-tuned machine learning interatomic potential
We investigate how Co migration from LiCoO<sub>2</sub> into the solid electrolyte LATP impacts Li-ion transport using fine-tuned machine learning interatomic potentials. Our simulations reveal that Co substitution at Ti sites induces local Li-ion trapping and disrupts long-range diffusion pathways. This study provides atomistic insights into interfacial resistance in all-solid-state batteries and highlights a predictive framework for interface design.
Authors
- Hong‐Kang Tian (ORCID: https://orcid.org/0000-0002-1120-1065)
- Yu-Ting Tai
Institutions
- National Taiwan University of Science and Technology (TW)
- National Cheng Kung University (TW)
Publication Details
- Journal
- Chemical Communications
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5cc03941j
- Primary Topic
- Advancements in Battery Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00