Polymer Simulations with a flat histogram stochastic growth algorithm
  We present Monte Carlo simulations of lattice models of polymers. These simulations are intended to demonstrate the strengths of a powerful new flat histogram algorithm which is obtained by adding microcanonical reweighting techniques to the pruned and enriched Rosenbluth method (PERM). 
Thomas Prellberg, Jaroslaw Krawczyk, Andrew Rechnitzer