Literature DB >> 28640604

Parametrization of a Reactive Force Field (ReaxFF) for Molecular Dynamics Simulations of Si Nanoparticles.

Giovanni Barcaro1, Susanna Monti2, Luca Sementa1, Vincenzo Carravetta1.   

Abstract

A novel computational approach, based on classical reactive molecular dynamics simulations (RMD) and quantum chemistry (QC) global energy optimizations, is proposed for modeling large Si nanoparticles. The force field parameters, which can describe bond breaking and formation, are derived by reproducing energetic and structural properties of a set of Si clusters increasing in size. These reference models are obtained through a new protocol based on a joint high temperature RMD/low temperature Basin Hopping QC search. The different procedures of estimating optimal force field parameters and their performance are discussed in detail.

Entities:  

Year:  2017        PMID: 28640604     DOI: 10.1021/acs.jctc.7b00445

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  3 in total

1.  A highly unsaturated six-vertex amido-substituted silicon cluster.

Authors:  Jan Keuter; Christian Schwermann; Alexander Hepp; Klaus Bergander; Jörn Droste; Michael Ryan Hansen; Nikos L Doltsinis; Christian Mück-Lichtenfeld; Felicitas Lips
Journal:  Chem Sci       Date:  2020-05-11       Impact factor: 9.825

2.  Mixing ReaxFF parameters for transition metal oxides using force-matching method.

Authors:  Adam Włodarczyk; Mariusz Uchroński; Agata Podsiadły-Paszkowska; Joanna Irek; Bartłomiej M Szyja
Journal:  J Mol Model       Date:  2021-12-14       Impact factor: 1.810

3.  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

  3 in total

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