Origin of Optimal Composition and Density for Li‐Ion Diffusion in Amorphous Li–P–S Electrolytes

ABSTRACT Amorphous solid electrolytes (SEs) are promising candidates for next‐generation solid‐state batteries owing to their mechanical softness and isotropic ion transport. However, the absence of long‐range order has hindered a mechanistic understanding of their ionic conductivity. Here, we employ AI‐based simulations to investigate Li 2 S–P 2 S 5 glasses across a broad composition–density space. We show that conventional descriptors—density, lithium content, and polyanion distribution—explain only part of the diffusivity trends. By decomposing transport into short‐ and long‐range components, we find that conduction is dominated by short‐range dynamics. Further analysis identifies two complementary structural determinants: Li–S 4 coordination environments, which stabilize hopping events, and pore evolution, which distinguishes accessible diffusion channels from inactive voids. This dual framework explains the emergence of optimal conductivity near Li 3 PS 4 stoichiometry and clarifies why excessive free volume can suppress transport. Overall, our results provide a mechanistic basis for ion conduction in amorphous solids and guiding principles for the design of high‐performance glassy electrolytes.

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Publication Details

Journal
Advanced Energy Materials
Published
2025-11-21
DOI
https://doi.org/10.1002/aenm.202504788
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
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article

Origin of Optimal Composition and Density for Li‐Ion Diffusion in Amorphous Li–P–S Electrolytes

Byungju Lee, Hyun‐Jae Lee, Chihun Kim
Advanced Energy Materials
Advanced Battery Materials and Technologies
article

Origin of Optimal Composition and Density for Li‐Ion Diffusion in Amorphous Li–P–S Electrolytes

Byungju Lee, Hyun‐Jae Lee, Chihun Kim
article en

Abstract

ABSTRACT Amorphous solid electrolytes (SEs) are promising candidates for next‐generation solid‐state batteries owing to their mechanical softness and isotropic ion transport. However, the absence of long‐range order has hindered a mechanistic understanding of their ionic conductivity. Here, we employ AI‐based simulations to investigate Li 2 S–P 2 S 5 glasses across a broad composition–density space. We show that conventional descriptors—density, lithium content, and polyanion distribution—explain only part of the diffusivity trends. By decomposing transport into short‐ and long‐range components, we find that conduction is dominated by short‐range dynamics. Further analysis identifies two complementary structural determinants: Li–S 4 coordination environments, which stabilize hopping events, and pore evolution, which distinguishes accessible diffusion channels from inactive voids. This dual framework explains the emergence of optimal conductivity near Li 3 PS 4 stoichiometry and clarifies why excessive free volume can suppress transport. Overall, our results provide a mechanistic basis for ion conduction in amorphous solids and guiding principles for the design of high‐performance glassy electrolytes.

Advanced Energy MaterialsVol. 16(4)
Korea University (KR), Korea University (JP), Korea Institute of Science and Technology (KR), Korea University of Science and Technology (KR)
Openalex Percentile: Top 64%
Advanced Battery Materials and Technologies
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Origin of Optimal Composition and Density for Li‐Ion Diffusion in Amorphous Li–P–S Electrolytes — Byungju Lee, Hyun‐Jae Lee, et al. · Advanced Energy Materials (2025) | TGRS Research Map | TGRS