Collective translational and rotational Monte Carlo moves for attractive particles

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Abstract

Virtual move Monte Carlo is a Monte Carlo (MC) cluster algorithm forming clusters via local energy gradients and approximating the collective kinetic or dynamic motion of attractive colloidal particles. We carefully describe, analyze, and test the algorithm. To formally validate the algorithm through highlighting its symmetries, we present alternative and compact ways of selecting and accepting clusters which illustrate the formal use of abstract concepts in the design of biased MC techniques: the superdetailed balance and the early rejection scheme. A brief and comprehensive summary of the algorithms is presented, which makes them accessible without needing to understand the details of the derivation.

Item Type: Journal Article
Subjects: Q Science > QC Physics
Divisions: Faculty of Science, Engineering and Medicine > Science > Physics
Library of Congress Subject Headings (LCSH): Cluster theory (Nuclear physics) -- Mathematical models
Journal or Publication Title: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)
Publisher: American Physical Society
ISSN: 1539-3755
Official Date: 14 March 2014
Dates:
Date
Event
14 March 2014
Published
26 November 2013
Submitted
Volume: Volume 89
Number: Number 3
Number of Pages: 19
Page Range: pp. 1-19
Article Number: Article number 033307
DOI: 10.1103/PhysRevE.89.033307
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 27 December 2015
Date of first compliant Open Access: 27 December 2015
Funder: University of Warwick Postgraduate Research Scholarship
URI: https://wrap.warwick.ac.uk/62546/

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