📝 SummarXiv

Abstract

Understanding the moisture stability of oxide Li-ion conductors is important for their practical applications in solid-state batteries. Unlike sulfide or halide conductors, oxide conductors generally better resist degradation when in contact with water, but can still undergo topotactic ion exchange between Li ions within the structure and protons in the environment. In this work, we combine density functional theory (DFT) calculations with a machine-learning interatomic potential model to investigate the thermodynamic driving force of the Li+/H+ exchange reaction for two representative oxide Li-ion conductor families: garnets and NASICONs. Our results indicate that the high Li chemical potential in Li-stuffed garnets is responsible for the stronger driving force for exchanging Li with protons as compared to the Li-unstuffed structures. In contrast, NASICONs demonstrate a higher resistance against proton exchange, which is attributed to the lower Li chemical potential and the lower O-H bond covalency for polyanion-bonded oxygens. Our findings highlight the trade-off when using Li stuffing as a mechanism to enhance Li-ion conductivity, as it also promotes degradation by moisture. This study underscores the importance of designing Li-ion conductors that not only possess high conductivity, but also exhibit high stability in practical environments.