Accelerating amorphous polymer electrolyte screening by learning to reduce errors in molecular dynamics simulated properties

Abstract

Screening polymer electrolytes for batteries is extremely expensive due to the complex structures and slow dynamics. Here the authors develop a machine learning scheme to accelerate the screening and explore a space much larger than past studies.