%0 Journal Article
%A Martín Mayor, Víctor
%T Microcanonical approach to the simulation of first-order phase transitions
%D 2007
%@ 0031-9007
%U https://hdl.handle.net/20.500.14352/52133
%X A simple microcanonical strategy for the simulation of first-order phase transitions is proposed. 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 two dimensions and Q = 4 in D = 3). We develop a cluster algorithm for this model, obtaining accurate results for systems with more than 10^(6) spins.
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