Abstract
Transition states are the pillars that underpin the study of chemical reactivities, allowing chemists to infer reaction mechanisms, to calculate activation energies, enthalpies, and other physical-chemical parameters. This project proposes a new methodology, based on quantum topology and machine learning, to obtain transition states and predict reactivity parameters. To achieve these obje…