Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2003-08-07
Physics
Condensed Matter
Disordered Systems and Neural Networks
38 pages, 11 figures, to appear in J. Phys.: Condens. Matter
Scientific paper
10.1088/0953-8984/16/5/006
A tutorial introduction to the technique of Molecular Dynamics (MD) is given, and some characteristic examples of applications are described. The purpose and scope of these simulations and the relation to other simulation methods is discussed, and the basic MD algorithms are described. The sampling of intensive variables (temperature T, pressure p) in runs carried out in the microcanonical (NVE) ensemble (N= particle number, V = volume, E = energy) is discussed, as well as the realization of other ensembles (e.g. the NVT ensemble). For a typical application example, molten SiO2, the estimation of various transport coefficients (self-diffusion constants, viscosity, thermal conductivity) is discussed. As an example of Non-Equilibrium Molecular Dynamics (NEMD), a study of a glass-forming polymer melt under shear is mentioned.
Binder Kurt
Horbach Jurgen
Kob Walter
Paul Wolfgang
Varnik Fathollah
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