Literature DB >> 27592688

Parameterization of the ReaxFF reactive force field for a proline-catalyzed aldol reaction.

Pierre O Hubin1, Denis Jacquemin2,3, Laurence Leherte4, Daniel P Vercauteren4.   

Abstract

A parameterization of the ReaxFF reactive FF is performed using a Monte Carlo Simulated Annealing procedure for the modeling of a proline-catalyzed aldol reaction. Emphasis is put on the accurate reproduction of the relative stabilities of several key intermediates of the reaction, as well as, on the description of the reaction path bridging these intermediates based on quantum mechanical calculations. Our training sets include new criteria based on geometry optimizations and short Molecular Dynamics simulations to ensure that the trained ReaxFF potentials adequately predict the structures of all key intermediates. The transferability of the sets of parameters obtained is assessed for various steps of the considered aldol reaction, as well as for different substrates, catalysts, and reagents. This works indeed highlights the challenge of reaching transferable parameters for several reaction steps.
© 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Entities:  

Keywords:  Monte Carlo simulated annealing; ReaxFF; force field parameters optimization; proline-catalyzed aldol reaction

Year:  2016        PMID: 27592688     DOI: 10.1002/jcc.24481

Source DB:  PubMed          Journal:  J Comput Chem        ISSN: 0192-8651            Impact factor:   3.376


  2 in total

1.  ReaxFF/AMBER-A Framework for Hybrid Reactive/Nonreactive Force Field Molecular Dynamics Simulations.

Authors:  Ali Rahnamoun; Mehmet Cagri Kaymak; Madushanka Manathunga; Andreas W Götz; Adri C T van Duin; Kenneth M Merz; Hasan Metin Aktulga
Journal:  J Chem Theory Comput       Date:  2020-11-03       Impact factor: 6.006

2.  GloMPO (Globally Managed Parallel Optimization): a tool for expensive, black-box optimizations, application to ReaxFF reparameterizations.

Authors:  Michael Freitas Gustavo; Toon Verstraelen
Journal:  J Cheminform       Date:  2022-02-16       Impact factor: 5.514

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.