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Molecular simulation methods for soft matter
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Allen, M. P. (2009) Molecular simulation methods for soft matter. In: 10th Granada Seminar: Modeling and Simulation of New Materials, Univ Granada, Fac Ciencias, Granada, Spain, 15-19 Sep 2008. Published in: AIP Conference Proceedings, Vol.1091 (No.1). pp. 1-43.
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Official URL: http://dx.doi.org/10.1063/1.3082281
Abstract
Molecular simulation methods that are relevant to the study of soft condensed matter are reviewed. A short discussion of molecular interaction potentials is followed by an discussion of molecular dynamics algorithms, stochastic dynamics, and thermostatting methods. The standard Metropolis Monte Carlo algorithm is described, and a short introduction given to weighted and biased sampling methods. Throughout, examples are chosen from the field of soft condensed matter, including colloidal systems, liquid crystals, and biopolymers.
| Item Type: | Conference Item (Paper) |
|---|---|
| Subjects: | Q Science > QC Physics |
| Divisions: | Faculty of Science > Physics |
| Library of Congress Subject Headings (LCSH): | Computer simulation, Condensed matter, Statistical mechanics, Liquid crystals, Colloids, Polymers, Phase transformations (Statistical physics) |
| Journal or Publication Title: | AIP Conference Proceedings |
| Publisher: | American Institute of Physics |
| ISBN: | 978-0-7354-0624-7 |
| ISSN: | 0094-243X |
| Editor: | Garrido, PL and Hurtado, PI and Marro, J |
| Date: | 21 January 2009 |
| Volume: | Vol.1091 |
| Number: | No.1 |
| Number of Pages: | 43 |
| Page Range: | pp. 1-43 |
| Identification Number: | 10.1063/1.3082281 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| Conference Paper Type: | Paper |
| Title of Event: | 10th Granada Seminar: Modeling and Simulation of New Materials |
| Type of Event: | Other |
| Location of Event: | Univ Granada, Fac Ciencias, Granada, Spain |
| Date(s) of Event: | 15-19 Sep 2008 |
| URI: | http://wrap.warwick.ac.uk/id/eprint/28072 |
Data sourced from Thomson Reuters' Web of Knowledge
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