Molecular Dynamics implementation of BN2D or 'Mercedes Benz' water model

Abstract

Two-dimensional 'Mercedes Benz' (MB) or BN2D water model (Naim, 1971) is implemented in Molecular Dynamics. It is known that the MB model can capture abnormal properties of real water (high heat capacity, minima of pressure and isothermal compressibility, negative thermal expansion coefficient) (Silverstein et al., 1998). In this work formulas for calculating the thermodynamic, structural and dynamic properties in microcanonical (NVE) and isothermal-isobaric (NPT) ensembles for the model from Molecular Dynamics simulation are derived and verified against known Monte Carlo results. The convergence of the thermodynamic properties and the system's numerical stability are investigated. The results qualitatively reproduce the peculiarities of real water making the model a visually convenient tool that also requires less computational resources, thus allowing simulations of large (hydrodynamic scale) molecular systems. We provide the open source code written in C/C++ for the BN2D water model implementation using Molecular Dynamics.

Publication DOI: https://doi.org/10.1016/j.cpc.2014.12.019
Divisions: College of Engineering & Physical Sciences > Systems analytics research institute (SARI)
Aston University (General)
Additional Information: © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funding: RCUK
Uncontrolled Keywords: 2D 'Mercedes Benz' model,autocorrelation functions,BN2D,molecular dynamics,NPT,NVE,radial distribution function,thermodynamic properties,Hardware and Architecture,General Physics and Astronomy
Publication ISSN: 1879-2944
Last Modified: 04 Nov 2024 08:43
Date Deposited: 15 Apr 2015 09:20
Full Text Link:
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2015-05
Published Online Date: 2015-01-23
Authors: Scukins, Arturs
Bardik, Vitaliy
Pavlov, Evgen
Nerukh, Dmitry (ORCID Profile 0000-0001-9005-9919)

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