Machine learning reveals factors that control ion mobility in anti-perovskite solid electrolytes

Machine learning is used to identify and assess the relative importance of features that control ion mobility in anti-perovskite solid electrolytes. Lattice properties such as hopping distance and channel width have the largest impact.