A Perspective on Training Machine Learning Force Fields for Solid-State Electrolyte Materials

Zihan Yan, Shengjie Tang, Yizhou Zhu

Machine learning force fields enable high-accuracy modeling of solid-state electrolytes (SSEs). This perspective evaluates dataset size, reference quality, and model architectures.…