The weighted ensemble (WE) method is another enhanced sampling method for MD simulations that runs many short simulations instead of one long simulation to sample thermodynamic and kinetic properties efficiently. These short simulations or "walkers" carry probabilities or "weights" that evolve throughout the simulation via "resampling," a statistical procedure to maintain a number of these short simulations at visited regions of the configuration space. More details can be found in the original WE paper, in a review article, and in the Weighted Ensemble Simulation Toolkit with Parallelization and Analysis (WESTPA) papers, but the general scheme is as follows.