Microcanonical Approach to the Simulation of First-Order Phase Transitions

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dc.creatorMartin-Mayor, V.
dc.date2006-11-21
dc.date.accessioned2026-07-07T11:21:27Z
dc.date.available2026-07-07T11:21:27Z
dc.descriptionA generalization of the microcanonical ensemble suggests a simple strategy for the simulation of first order phase transitions. At variance with flat-histogram methods, there is no iterative parameters optimization, nor long waits for tunneling between the ordered and the disordered phases. We test the method in the standard benchmark: the Q-states Potts model (Q=10 in 2 dimensions and Q=4 in 3 dimensions), where we develop a cluster algorithm. We obtain accurate results for systems with more than one million of spins, outperforming flat-histogram methods that handle up to tens of thousands of spins.
dc.description4 pages, 3 postscript figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0611543
dc.identifierhttp://arxiv.org/abs/cond-mat/0611543
dc.identifierPhys.Rev.Lett.98:137207,2007
dc.identifierdoi:10.1103/PhysRevLett.98.137207
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/194266
dc.subjectStatistical Mechanics
dc.subjectHigh Energy Physics - Lattice
dc.titleMicrocanonical Approach to the Simulation of First-Order Phase Transitions
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