Efficient Monte Carlo Generation of Self-Avoiding Polymers

Abstract

A new method for generating self‐avoiding random polymers is described. Utilization of this method makes the total time spent on double occupancy checking during the development of a self‐avoiding polymer, in principle, only linearly dependent on the length. To test the method, self‐avoiding polymers of 14 to 200 bonds have been developed on the tetrahedral lattice by Monte Carlo techniques. Properties of the distribution of polymers obtained are presented, and these properties are shown to be consistent with previously reported results.