Phase switch Monte Carlo: Difference between revisions
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Phase Switch Monte Carlo is a general simulation approach for sampling the disjoint configuration spaces associated with coexisting phases within a single simulation. The method employs biased sampling techniques to enhance the probabilities of gateway states (in each phase) which are such that a global switch to the other phase can be implemented. Equilibrium coexistence parameters can be determined directly; statistical uncertainties prescribed transparently; and finite-size effects quantified systematically. The method is particular useful in cases where one or both of the coexisting phases is a solid. | Phase Switch Monte Carlo is a general simulation approach for sampling the disjoint configuration spaces associated with coexisting phases within a single simulation. The method employs biased sampling techniques to enhance the probabilities of gateway states (in each phase) which are such that a global switch to the other phase can be implemented. Equilibrium coexistence parameters can be determined directly; statistical uncertainties prescribed transparently; and finite-size effects quantified systematically. The method is particular useful in cases where one or both of the coexisting phases is a solid. | ||
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#[http://dx.doi.org/10.1063/1.1632147 Nigel B. Wilding "Phase Switch Monte Carlo", AIP Conference Proceedings '''690''' pp. 349-355 (2003)] | #[http://dx.doi.org/10.1063/1.1632147 Nigel B. Wilding "Phase Switch Monte Carlo", AIP Conference Proceedings '''690''' pp. 349-355 (2003)] | ||
#[http://dx.doi.org/10.1002/0471466603.ch1 Alastair D. Bruce and Nigel B. Wilding "Computational Strategies for Mapping Equilibrium Phase Diagrams", Advances in Chemical Physics '''127''' pp. 1-64 (2003)] | #[http://dx.doi.org/10.1002/0471466603.ch1 Alastair D. Bruce and Nigel B. Wilding "Computational Strategies for Mapping Equilibrium Phase Diagrams", Advances in Chemical Physics '''127''' pp. 1-64 (2003)] | ||
[[category: Monte Carlo]] | [[category: Monte Carlo]] | ||
[[category: computer simulation techniques]] | [[category: computer simulation techniques]] | ||
Revision as of 13:30, 23 March 2009
Phase Switch Monte Carlo is a general simulation approach for sampling the disjoint configuration spaces associated with coexisting phases within a single simulation. The method employs biased sampling techniques to enhance the probabilities of gateway states (in each phase) which are such that a global switch to the other phase can be implemented. Equilibrium coexistence parameters can be determined directly; statistical uncertainties prescribed transparently; and finite-size effects quantified systematically. The method is particular useful in cases where one or both of the coexisting phases is a solid.
References
- A. D. Bruce, N. B. Wilding, and G. J. Ackland "Free Energy of Crystalline Solids: A Lattice-Switch Monte Carlo Method", Physical Review Letters 79 pp. 3002-3005 (1997)
- N. B. Wilding and A. D. Bruce "Freezing by Monte Carlo Phase Switch", Physical Review Letters 85 pp. 5138-5141 (2000)
- Nigel B. Wilding "Phase Switch Monte Carlo", AIP Conference Proceedings 690 pp. 349-355 (2003)
- Alastair D. Bruce and Nigel B. Wilding "Computational Strategies for Mapping Equilibrium Phase Diagrams", Advances in Chemical Physics 127 pp. 1-64 (2003)