2025/07/10 by An, Yun
#Disordered Systems and Neural Networks (cond-mat.dis-nn) #FOS: Physical sciences #Materials Science (cond-mat.mtrl-sci)
paper · doi:10.48550/arxiv.2507.08215
Glassy solid electrolytes (GSEs), with their amorphous nature and the absence of grain boundaries, make them highly attractive for applications in all-solid-state lithium batteries (ASSLBs), a leading candidate for next-generation energy storage technologies. A recently developed lithium thioborophosphate iodide GSE, composed of 30Li2S-25B2S3-45LiI-5P2S5 (LBPSI), has demonstrated excellent room-temperature ionic conductivity and low activation energy. Despite this exciting finding, the underlying mechanism behind this ultrafast ion transport remains ambiguous. Here, we accurately fine-tune the foundational MACE-MP-0 model and perform large-scale machine learning molecular dynamics simulations to investigate the structural and ion dynamics in LBPSI GSE. Our results reveal that B2S3 glass formers primarily form multi-bridged BxSy long-chain networks that impede Li+ conduction. In contrast, P2S5 gives rise to mono-tetrahedral PS43- and di-tetrahedral P2S74- tetrahedra, which engage in distinctive corner-sharing modes with BS45- tetrahedra, effectively disrupting the BxSy chains and enhancing Li+ mobility. Furthermore, the polyhedral anion rotations of PS43- and BS45- in the corner-sharing PS4-BS4 motifs may further promote fast Li+ conduction.