Exploring first-order phase transitions with population annealing

Lev Yu Barash, Martin Weigel, Lev N. Shchur, Wolfhard Janke

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)
    27 Downloads (Pure)


    Population annealing is a hybrid of sequential and Markov chain Monte Carlo methods geared towards the efficient parallel simulation of systems with complex free-energy landscapes. Systems with first-order phase transitions are among the problems in computational physics that are difficult to tackle with standard methods such as local-update simulations in the canonical ensemble, for example with the Metropolis algorithm. It is hence interesting to see whether such transitions can be more easily studied using population annealing. We report here our preliminary observations from population annealing runs for the two-dimensional Potts model with $q > 4$, where it undergoes a first-order transition.
    Publisher Statement: The final publication is available at Springer via http://dx.doi.org/10.1140/epjst/e2016-60389-4

    Original languageEnglish
    Pages (from-to)595-604
    Number of pages10
    JournalThe European Physical Journal Special Topics
    Publication statusPublished - 5 Apr 2017

    Bibliographical note

    10 pages, 3 figures, 3 tables


    • physics.comp-ph
    • cond-mat.soft
    • cond-mat.stat-mech
    • hep-lat


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