English

Properties of Kinetic Transition Networks for Atomic Clusters and Glassy Solids

Disordered Systems and Neural Networks 2017-11-22 v1 Statistical Mechanics Computational Physics Applications

Abstract

A database of minima and transition states corresponds to a network where the minima represent nodes and the transition states correspond to edges between the pairs of minima they connect via steepest-descent paths. Here we construct networks for small clusters bound by the Morse potential for a selection of physically relevant parameters, in two and three dimensions. The properties of these unweighted and undirected networks are analysed to examine two features: whether they are small-world, where the shortest path between nodes involves only a small number or edges; and whether they are scale-free, having a degree distribution that follows a power law. Small-world character is present, but statistical tests show that a power law is not a good fit, so the networks are not scale-free. These results for clusters are compared with the corresponding properties for the molecular and atomic structural glass formers ortho-terphenyl and binary Lennard-Jones. These glassy systems do not show small-world properties, suggesting that such behaviour is linked to the structure-seeking landscapes of the Morse clusters.

Keywords

Cite

@article{arxiv.1709.02046,
  title  = {Properties of Kinetic Transition Networks for Atomic Clusters and Glassy Solids},
  author = {John W R Morgan and Dhagash Mehta and David J Wales},
  journal= {arXiv preprint arXiv:1709.02046},
  year   = {2017}
}

Comments

23 pages, 19 figures. Accepted for publication in Physical Chemistry Chemical Physics