Computational design of high-performance ligand for enantioselective Markovnikov hydroboration of aliphatic terminal alkenes

Abstract

Trial-and-error methods to identify suitable ligands for transition metal catalysis are time-consuming and costly. Here, the authors developed a combined experimental and computational approach to design chiral ligands for the enantioselective Markovnikov hydroboration of aliphatic terminal alkenes.