Title: Machine learning of reaction barriers, genetic algorithms and chemical intuition

Abstract: This talk will give an overview of our (Gabe, Akshat, me and others) recent work on the prediction of activation energies of chemical reactions, the design of phosphine ligands, genetic algorithms based on our recently developed SELFIES representation of molecules and a combination of all to extract chemical intuition and design rules from machine learning approaches.