Reorganization energies of flexible organic molecules as a challenging target for machine learning enhanced virtual screening

Abstract

Reorganization energies of flexible molecules pose a challenge for machine learning (ML) models. Combining them with semiempirical electronic structure methods helps, but the benefit for virtual screening is surprisingly small.