Structural analysis of high-dimensional basins of attraction

Stefano Martiniani, K. Julian Schrenk, Jacob D. Stevenson, David J. Wales, Daan Frenkel

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We propose an efficient Monte Carlo method for the computation of the volumes of high-dimensional bodies with arbitrary shape. We start with a region of known volume within the interior of the manifold and then use the multistate Bennett acceptance-ratio method to compute the dimensionless free-energy difference between a series of equilibrium simulations performed within this object. The method produces results that are in excellent agreement with thermodynamic integration, as well as a direct estimate of the associated statistical uncertainties. The histogram method also allows us to directly obtain an estimate of the interior radial probability density profile, thus yielding useful insight into the structural properties of such a high-dimensional body. We illustrate the method by analyzing the effect of structural disorder on the basins of attraction of mechanically stable packings of soft repulsive spheres.

Original languageEnglish (US)
Article number031301
JournalPhysical Review E
Volume94
Issue number3
DOIs
StatePublished - Sep 15 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2016 American Physical Society.

Fingerprint

Dive into the research topics of 'Structural analysis of high-dimensional basins of attraction'. Together they form a unique fingerprint.

Cite this