Literature DB >> 30776757

Modeling MesoBioNano systems with MBN Studio made easy.

Gennady B Sushko1, Ilia A Solov'yov2, Andrey V Solov'yov3.   

Abstract

This paper introduces MesoBioNano (MBN) Studio - a graphical user interface for a popular multiscale simulation package MBN Explorer. MBN Studio has been developed to facilitate setting up and starting MBN Explorer calculations, monitoring their progress and examining the calculation results. It is tailored for any calculations that are supported by MBN Explorer, such as for example the single-point energy calculations, structure optimization, molecular dynamics, and kinetic Monte Carlo simulations. Apart from that MBN Studio has built-in tools allowing the calculation and analysis of specific characteristics that are determined by the output of the simulations, such as the diffusion coefficients of molecular species, melting temperatures and associated heat capacities, radial distribution function; a dedicated modeling plug-in allows constructing molecular systems in a quick and efficient manner. Employing this plug-in, one can easily construct molecular systems of different geometries (e.g., spherical or ellipsoidal nanoparticles, cubic crystalline samples) with various atomic composition. The paper presents the first public release of MBN Studio and provides an overview of its significant capabilities, as well as the reference point for further extensions.
Copyright © 2019 Elsevier Inc. All rights reserved.

Keywords:  MesoBioNano science; Molecular graphics; Molecular systems constructor; Multiscale simulations; Simulation analysis

Mesh:

Year:  2019        PMID: 30776757     DOI: 10.1016/j.jmgm.2019.02.003

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


  1 in total

1.  Multiscale simulation of the focused electron beam induced deposition process.

Authors:  Pablo de Vera; Martina Azzolini; Gennady Sushko; Isabel Abril; Rafael Garcia-Molina; Maurizio Dapor; Ilia A Solov'yov; Andrey V Solov'yov
Journal:  Sci Rep       Date:  2020-11-30       Impact factor: 4.379

  1 in total

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