Chiku Parida

Domain-specific dataset enable accurate MLIPs for disordered halide-based solid electrolytes

Efficient exploration of chemical space with machine-learning interatomic potentials (MLIPs) requires a comprehensive, application-focused training database. Solid-state electrolytes for Li-ion batteries have attracted growing attention owing to their ability to improve safety and energy density. Among these, halide-ba...