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.

Highlights

  • The potential energy surface (PES)[1] of an atomic cluster corresponds to the energy as a function of the coordinates specifying the configuration

  • The network in question is formed by considering minima as the nodes and transition states as edges between the minima they connect via steepest-descent paths.[3,4]

  • In the present work we explore the PES for small atomic clusters bound by the Morse potential with a range of values for r, namely 3, 6, 10, 14 and 30

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Summary

Introduction

The potential energy surface (PES)[1] of an atomic cluster corresponds to the energy as a function of the coordinates specifying the configuration. The most interesting points on the surface are usually the local minima and transition states, which are stationary points where the gradient of the potential is zero. The potential energy rises for any infinitesimal displacement of internal coordinates, while for transition states there is a unique negative Hessian (second derivative matrix) eigenvalue.[2] Treating the PES as a network can provide insight into the overall structure of the energy landscape. The network in question is formed by considering minima as the nodes and transition states as edges between the minima they connect via steepest-descent paths.[3,4] Two key questions are whether the network is small-world and scale-free

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