Web of Science: 11 cites, Scopus: 8 cites, Google Scholar: cites
Computational Study of Homogeneous Multimetallic Cooperative Catalysis
Sciortino, Giuseppe (Institut d'Investigacions Químiques de Catalunya)
Maseras Cuní, Feliu (Institut d'Investigacions Químiques de Catalunya)

Data: 2022
Resum: Cooperative multimetallic catalysis is a fascinating field of research further expanding the role of homogeneous catalysis. The simultaneous activation of two substrates or functionalities by different catalytic entities and their subsequent coupling are the responsible for the rate acceleration and selectivity exerted by these systems. The nature of the metal moieties is the responsible of the activation step, while selectivity mainly derives from supramolecular interactions between the substrates and the catalysts, particularly during coupling. The control of both activation and coupling opens the way for the design of new highly selective synthetic routes proceeding in mild conditions. Molecular modelling is becoming nowadays an essential tool in rational design of metal-mediated catalysis. Theoretical models provide fundamental insights on the substrate activation by metals as well as on the interactions between the different catalysts. This can allow the deciphering at the atomic level of the preferential pathways leading to different reaction products. In this contribution, we discuss a series of representative examples of multimetallic cooperative processes described by means of molecular modelling.
Ajuts: Agencia Estatal de Investigación PID2020-112825RB-I00
Ministerio de Ciencia e Innovación FJC2019-039135-I
Drets: Tots els drets reservats.
Llengua: Anglès
Document: Article ; recerca ; Versió acceptada per publicar
Matèria: Computational chemistry ; Cooperative catalysis ; Dual catalysis ; Molecular modelling ; Multimetallic catalysis ; Reaction mechanisms ; Synergistic catalysis
Publicat a: Topics in Catalysis, Vol. 65, Issue 1-4 (February 2022) , p. 105-117, ISSN 1572-9028

DOI: 10.1007/s11244-021-01493-2


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23 p, 1.1 MB

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