Literature DB >> 27268523

First-Principles Molecular Dynamics Studies of Organometallic Complexes and Homogeneous Catalytic Processes.

Pietro Vidossich1, Agustí Lledós1, Gregori Ujaque1.   

Abstract

Computational chemistry is a valuable aid to complement experimental studies of organometallic systems and their reactivity. It allows probing mechanistic hypotheses and investigating molecular structures, shedding light on the behavior and properties of molecular assemblies at the atomic scale. When approaching a chemical problem, the computational chemist has to decide on the theoretical approach needed to describe electron/nuclear interactions and the composition of the model used to approximate the actual system. Both factors determine the reliability of the modeling study. The community dedicated much effort to developing and improving the performance and accuracy of theoretical approaches for electronic structure calculations, on which the description of (inter)atomic interactions rely. Here, the importance of the model system used in computational studies is highlighted through examples from our recent research focused on organometallic systems and homogeneous catalytic processes. We show how the inclusion of explicit solvent allows the characterization of molecular events that would otherwise not be accessible in reduced model systems (clusters). These include the stabilization of nascent charged fragments via microscopic solvation (notably, hydrogen bonding), transfer of charge (protons) between distant fragments mediated by solvent molecules, and solvent coordination to unsaturated metal centers. Furthermore, when weak interactions are involved, we show how conformational and solvation properties of organometallic complexes are also affected by the explicit inclusion of solvent molecules. Such extended model systems may be treated under periodic boundary conditions, thus removing the cluster/continuum (or vacuum) boundary, and require a statistical mechanics simulation technique to sample the accessible configurational space. First-principles molecular dynamics, in which atomic forces are computed from electronic structure calculations (namely, density functional theory), is certainly the technique of choice to investigate chemical events in solution. This methodology is well established and thanks to advances in both algorithms and computational resources simulation times required for the modeling of chemical events are nowadays accessible, though the computational requirements use to be high. Specific applications reviewed here include mechanistic studies of the Shilov and Wacker processes, speciation in Pd chemistry, hydrogen bonding to metal centers, and the dynamics of agostic interactions.

Entities:  

Year:  2016        PMID: 27268523     DOI: 10.1021/acs.accounts.6b00054

Source DB:  PubMed          Journal:  Acc Chem Res        ISSN: 0001-4842            Impact factor:   22.384


  6 in total

1.  Machine learning dihydrogen activation in the chemical space surrounding Vaska's complex.

Authors:  Pascal Friederich; Gabriel Dos Passos Gomes; Riccardo De Bin; Alán Aspuru-Guzik; David Balcells
Journal:  Chem Sci       Date:  2020-04-07       Impact factor: 9.825

2.  Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis.

Authors:  Miguel Steiner; Markus Reiher
Journal:  Top Catal       Date:  2022-01-13       Impact factor: 2.910

Review 3.  Computational mechanistic studies of ruthenium catalysed methanol dehydrogenation.

Authors:  Felix J de Zwart; Vivek Sinha; Monica Trincado; Hansjörg Grützmacher; Bas de Bruin
Journal:  Dalton Trans       Date:  2022-02-22       Impact factor: 4.390

4.  An automated method to find reaction mechanisms and solve the kinetics in organometallic catalysis.

Authors:  J A Varela; S A Vázquez; E Martínez-Núñez
Journal:  Chem Sci       Date:  2017-03-07       Impact factor: 9.825

5.  How Solvent Affects C-H Activation and Hydrogen Production Pathways in Homogeneous Ru-Catalyzed Methanol Dehydrogenation Reactions.

Authors:  Vivek Sinha; Nitish Govindarajan; Bas de Bruin; Evert Jan Meijer
Journal:  ACS Catal       Date:  2018-06-12       Impact factor: 13.084

6.  Interplay of water and a supramolecular capsule for catalysis of reductive elimination reaction from gold.

Authors:  Valerie Vaissier Welborn; Wan-Lu Li; Teresa Head-Gordon
Journal:  Nat Commun       Date:  2020-01-21       Impact factor: 14.919

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.