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

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.

Guardado en:
Detalles Bibliográficos
Autores principales: Hiroaki Iwamoto, Tsuneo Imamoto, Hajime Ito
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Q
Acceso en línea:https://doaj.org/article/6a387f52665541d5a0b847d927857121
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!