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Collective translational and rotational Monte Carlo moves for attractive particles
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Růžička, Štěpán and Allen, M. P. (2014) Collective translational and rotational Monte Carlo moves for attractive particles. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Volume 89 (Number 3). pp. 1-19. Article number 033307. doi:10.1103/PhysRevE.89.033307
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Official URL: http://dx.doi.org/10.1103/PhysRevE.89.033307
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 > 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: |
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| 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 | ||||||
| Funder: | University of Warwick Postgraduate Research Scholarship |
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