The hydra string method: a novel means to explore potential energy surfaces and its application to granular materials

Abstract

We present a novel means to understand granular materials, the Hydra String Method (HSM). This is an efficient and autonomous way to trawl an arbitrary potential energy surface (or any similarly high dimensional function) that enumerates the saddle points, minima, and minimum energy paths between them. In doing so, it creates a reduced dimensional network representation of this surface. We also present a series of tests to choose optimized parameters for the application of the HSM. We apply this to the potential energy function of a granular system consisting of a configuration of bi-disperse, frictionless, soft spheres. Future work will make use of the found ensemble of transition pathways to statistically predict the dynamics of a system of grains.