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We provide an introduction to molecular dynamics simulations in the context of the Kob–Andersen model of a glass. We introduce a complete set of tools for doing and analyzing the results of simulations at fixed NVE and NVT. The modular format of the paper allows readers to select sections that meet their needs. We start with an introduction to molecular dynamics independent of the programming language, followed by introductions to an implementation using python and then the freely available open source software package lammps. We also describe analysis tools for the quick testing of the program during its development and compute the radial distribution function and the mean square displacement using both python and lammps.
Physics - Physics Education, FOS: Physical sciences, Nonlinear, Statistical, Computational Physics (physics.comp-ph), Lennard-Jones model, python, molecular dynamics simulation, Physics Education (physics.ed-ph), and Soft Matter Physics, Physics - Computational Physics, LAMMPS
Physics - Physics Education, FOS: Physical sciences, Nonlinear, Statistical, Computational Physics (physics.comp-ph), Lennard-Jones model, python, molecular dynamics simulation, Physics Education (physics.ed-ph), and Soft Matter Physics, Physics - Computational Physics, LAMMPS
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 35 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |