AIMNet2-rxn: A machine-learned potential for generalized reaction modeling on a millions-of-pathways scale
Mechanistic modeling of chemical transformations offers a compelling basis for understanding reactivity and allows for prediction of reaction outcomes before attempting experiments. Despite progress in machine-learned interatomic potentials (MLIPs), we demonstrate that available models lack the accuracy for diverse rea...