Discovering Multi‐Compositional Li‐Argyrodite Solid‐State Electrolytes via Experimental Active Learning (Small 21/2025)

Solid-State Electrolytes In article number 2410008, Woon Bae Park, Kee-Sun Sohn, and co-workers showcase the application of a particle swarm optimization algorithm, inspired by swarm intelligence, to design and optimize argyrodite solid-state electrolytes (SSEs). The schematic highlights the collective behavior of particles navigating a complex solution space, fine-tuning critical material parameters for enhanced ionic conductivity and stability. This innovative approach bridges computational intelligence with material science, streamlining the discovery and development of advanced SSEs for cutting-edge energy storage technologies.