Accelerating the discovery of disordered multi-component solid-state electrolytes using machine learning interatomic potentials

Machine learning interatomic potentials (MLIPs) are rapidly emerging as powerful tools for materials simulations, offering a promising pathway to explore complex systems beyond the reach of traditional methods. This study...