Accelerating solid-state battery design: predicting ionic conductivity with machine learning potentials

Achieving high ionic conductivity in solid-state electrolytes (SSEs) is critical for next-generation batteries, yet exploring the vast chemical space is hindered by the computational expense of first-principles methods.