Machine learning prediction of hydrogen atom transfer reactivity in photoredox-mediated C–H functionalization

DFT-computed structure–activity relationship data and physical organic descriptors create accurate machine learning model for HAT barrier prediction in photoredox-mediated HAT catalysis.