4.3. Markov Chain Monte Carlo sampling on a hop graph

The hop graph encodes the dynamic information of the system. Using a Markov Chain Monte Carlo method one can propagate the dynamics to much longer time scales than accessible by the underlying MD simulations alone and calculate fluxes across the network.

• 4.3.1. Markov Chain Monte Carlo on hopping graph — hop.MCMC