Literature DB >> 25064439

Reaction analysis and visualization of ReaxFF molecular dynamics simulations.

Jian Liu1, Xiaoxia Li2, Li Guo3, Mo Zheng1, Junyi Han1, Xiaolong Yuan4, Fengguang Nie4, Xiaolong Liu1.   

Abstract

ReaxFF MD (Reactive Force Field Molecular Dynamics) is a promising method for investigating complex chemical reactions in relatively larger scale molecular systems. The existing analysis tools for ReaxFF MD lack the capability of capturing chemical reactions directly by analyzing the simulation trajectory, which is critical in exploring reaction mechanisms. This paper presents the algorithms, implementation strategies, features, and applications of VARxMD, a tool for Visualization and Analysis of Reactive Molecular Dynamics. VARxMD is dedicated to detailed chemical reaction analysis and visualization from the trajectories obtained in ReaxFF MD simulations. The interrelationships among the atoms, bonds, fragments, species and reactions are analyzed directly from the three-dimensional (3D) coordinates and bond orders of the atoms in a trajectory, which are accomplished by determination of atomic connectivity for recognizing connected molecular fragments, perception of bond types in the connected fragments for molecules or radicals, indexing of all these molecules or radicals (chemical species) based on their 3D coordinates and recognition of bond breaking or forming in the chemical species for reactions. Consequently, detailed chemical reactions taking place between two sampled frames can be generated automatically. VARxMD is the first tool specialized for reaction analysis and visualization in ReaxFF MD simulations. Applications of VARxMD in ReaxFF MD simulations of coal and HDPE (high-density polyethylene) pyrolysis show that VARxMD provides the capabilities in exploring the reaction mechanism in large systems with complex chemical reactions involved that are difficult to access manually.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chemical reaction analysis and visualization; Chemical reaction mechanisms; Chemical reaction parsing; Chemical structure processing; Cheminformatics; Large scale simulation; Reaction pathway analysis; ReaxFF molecular dynamics; VARxMD

Mesh:

Year:  2014        PMID: 25064439     DOI: 10.1016/j.jmgm.2014.07.002

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  2 in total

1.  Revealing the Chemical Reaction Properties of a SiHCl3 Pyrolysis System by the ReaxFF Molecular Dynamics Method.

Authors:  Yanping Li; Dazhou Yan; Tao Yang; Guosheng Wen; Xin Yao
Journal:  ACS Omega       Date:  2022-01-28

2.  Discovering surface reaction pathways using accelerated molecular dynamics and network analysis tools.

Authors:  Hirotoshi Hirai; Ryosuke Jinnouchi
Journal:  RSC Adv       Date:  2022-08-17       Impact factor: 4.036

  2 in total

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