1.
Phys Rev E Stat Nonlin Soft Matter Phys
; 76(4 Pt 2): 045701, 2007 Oct.
Article
in English
| MEDLINE
| ID: mdl-17995052
ABSTRACT
We present a Monte Carlo algorithm that facilitates efficient parallel tempering simulations of the density of states g(E) . We show that the algorithm eliminates the supercritical slowing down in the case of the Q=20 and Q=256 Potts models in two dimensions, typical examples for systems with extreme first-order phase transitions. As recently predicted, and shown here, the microcanonical heat capacity along the calorimetric curve has negative values for finite systems.