Molecular Dynamics Simulation Of Nanocomposites Using Biovia Materials Studio Lammps And Gromacs

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Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs

Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs
Author :
Publisher : Elsevier
Total Pages : 368
Release :
ISBN-10 : 9780128169551
ISBN-13 : 0128169559
Rating : 4/5 (559 Downloads)

Book Synopsis Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs by : Sumit Sharma

Download or read book Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs written by Sumit Sharma and published by Elsevier. This book was released on 2019-08-09 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs presents the three major software packages used for the molecular dynamics simulation of nanocomposites. The book explains, in detail, how to use each of these packages, also providing real-world examples that show when each should be used. The latter two of these are open-source codes which can be used for modeling at no cost. Several case studies how each software package is used to predict various properties of nanocomposites, including metal-matrix, polymer-matrix and ceramic-matrix based nanocomposites. Properties explored include mechanical, thermal, optical and electrical properties. This is the first book that explores methodologies for using Materials Studio, Lammps and Gromacs in the same place. It will be beneficial for students, researchers and scientists working in the field of molecular dynamics simulation. - Gives a detailed explanation of basic commands and modules of Materials Studio, Lammps and Gromacs - Shows how Materials Studio, Lammps and Gromacs predict mechanical, thermal, electrical and optical properties of nanocomposites - Uses case studies to show which software should be used to solve a variety of nanoscale modeling problems


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