Prediction of organic homolytic bond dissociation enthalpies at near chemical accuracy with sub-second computational cost

Abstract

Bond dissociation enthalpies are key quantities in determining chemical reactivity, their computations with quantum mechanical methods being highly demanding. Here the authors develop a machine learning approach to calculate accurate dissociation enthalpies for organic molecules with sub-second computational cost.