Tailoring Sulfide Particle Size for All?Solid?State Lithium Metal Batteries

This work highlights the critical role of sulfide particle size in all?solid?state batteries. A precisely controlled sulfide particle distribution fills cathode gaps. Guided by the ratios D50Cathode/D50SE ? 7.3 and 2.0 ? D90Cathode/D90SE ? 3.5, the microstructure ensures excellent interfacial contact, high capacity (>200 mAh/g), superior rate performance, and outstanding cyclability (81.5% retention after 4000 cycles).ABSTRACTThe precise control of sulfide solid electrolyte (SSE) particle size distribution is crucial for constructing efficient ion?conducting networks in composite cathodes of all?solid?state lithium metal batteries (ASSLBs). This work systematically investigates the effects of key particle size parameters (D10, D50, D90) of Li6PS5Cl SSE on battery performance through controlled mechanical grinding. In this study, the optimal SSE particle size composition enables exceptional electrochemical performance of ASSLB: a high reversible capacity of 202.2 mAh/g at 0.25C, superior rate capability (76% capacity retention of 5C/0.25C), and outstanding cyclability (81.5% and 80% capacity retention after 4000 cycles at 3C and 5C, respectively). Microstructural analysis indicates that the optimized SSE particle configuration, when 7.3 ? D50Cathode/D50SSE and 2.0 ? D90Cathode/D90SSE ? 3.5, forms a hierarchical ion?conducting network. In this configuration, the fine particles of SSE in the composite cathode can effectively fill the cathode gaps, while the medium?sized particles can provide rapid ion transport channels, resulting in excellent rate performance and reversible capacity. Larger electrolyte particles will lead to insufficient interfacial contact and “island?like” ion transport paths. Additionally, excessively lowering D90 will also result in reduced battery performance (3.5 ? D90C/D90SE). This study provides quantitative guiding principles for SSE particle engineering.

» Publication Date: 09/01/2026

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This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement Nº 768737


                   




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