New model predicts a chemical reaction’s point of no return

Researchers developed a machine-learning model that can predict the structures of transition states of chemical reactions in less than a second, with high accuracy. Their model could make it easier for chemists to design reactions that could generate a variety of useful compounds, such as pharmaceuticals or fuels.