Molecular Dynamics Simulation of Nanocomposites using BIOVIA Materials Studio, Lammps and Gromacs, Second Edition introduces the three major software packages essential for the molecular dynamics simulation of nanocomposites, providing detailed instructions on utilizing each. This content is accompanied by real-world examples that illustrate when each should be applied. Numerous case studies demonstrate how each software package predicts various properties of nanocomposites, encompassing metal-matrix, polymer-matrix, and ceramic-matrix based nanocomposites. Explored properties include mechanical, thermal, optical, and electrical characteristics. This is a valuable resource for students, researchers, and scientists working in the field of molecular dynamics simulation.
All chapters have been fully updated to reflect the latest developments in the field, and this new edition has been enriched with additional chapters covering Al composites, machine learning, polymer coatings, and graphene-based materials and carbon nanotubes.
All chapters have been fully updated to reflect the latest developments in the field, and this new edition has been enriched with additional chapters covering Al composites, machine learning, polymer coatings, and graphene-based materials and carbon nanotubes.
Table of Contents
1. Introduction to Molecular Dynamics2. Overview of Biovia Materials Studio, LAMMPS and GROMACS
3. Molecular Dynamics Simulation of Metal-Matrix Composites Using Biovia Materials Studio, LAMMPS and GROMACS
4. Molecular Dynamics Simulation of Polymer-Matrix Composites Using Biovia Materials Studio, LAMMPS and GROMACS
5. Molecular Dynamics Simulation of Ceramic-Matrix Composites Using Biovia Materials Studio, LAMMPS and GROMACS
6. Scripting in Molecular Dynamics
7. Applications of BIOVIA Materials Studio, LAMMPS and GROMACS in Various Fields of Science and Engineering
8. Molecular dynamics modeling of 2D materials
9. Vibrational behavior of carbon nanotubes and graphene
10. Wear of CNT reinforced Al composites
11. Machine learning and Molecular Dynamics
12. Polymer coatings of metallic substrate
13. Modeling of graphene oxide and reduced graphene oxide
14. Effect of functionalization and defects in CNT on mechanical properties and creep behavior of nitrile butadiene rubber composites
15. The effect of chirality and defects on mechanical properties of carbon nanotube reinforced polycarbonate composites
16. Structure of nanomaterials and composites
17. Machine learning with MD 18. Applications of MD in different fields
