Martín Mayor, Víctor2023-06-202023-06-202007-03-300031-900710.1103/PhysRevLett.98.137207https://hdl.handle.net/20.500.14352/52133© 2007 American Physical Society. We thank for discussions L. A. Fernández (who also helped with figures and C code), L. G. Macdowell, W. Janke, G. Parisi, and P. Verrocchio, and BIFI and RTN3 for computer time. We were partly supported by BSCH-UCM and by MEC (Spain) through Contracts No. BFM2003-08532, No. FIS2004-05073, and No. FIS2006-08533.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.engjournal articlehttp://dx.doi.org/10.1103/PhysRevLett.98.137207https://journals.aps.orgrestricted access53Monte-Carlo simulationsDensity-of-statesPotts-modelEvaporation/condensation transitionEquilibrium dropletsCluster algorithmCritical-behaviorCrystal shapesCondensationTemperature.Física-Modelos matemáticos