Monte Carlo methods are prevalent in simulations of equilibrium systems in statistical physics. The kinetic Monte Carlo method has a time-dependent interpretation as a coarse-grained, lattice-based atomic-scale simulation technique that can be used to simulate systems away from equilibrium. In this tutorial, I will discuss the theoretical underpinnings of kinetic Monte Carlo and the types of systems to which it can be applied. I will discuss typical algorithms and applications of kinetic Monte Carlo and describe frontiers in the development and use of this technique. Some "homework" exercises will be suggested.
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