Repurposing quantum chemical descriptor datasets for on-the-fly generation of informative reaction representations: application to hydrogen atom transfer reactions

Abstract

In this work, we explore how existing datasets of quantum chemical properties can be repurposed to build data-efficient downstream ML models, with a particular focus on predicting the activation energy of hydrogen atom transfer reactions.