Improving Wang-Landau sampling with adaptive windows

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Improving Wang-Landau sampling with adaptive windows.

Wang-Landau sampling (WLS) of large systems requires dividing the energy range into "windows" and joining the results of simulations in each window. The resulting density of states (and associated thermodynamic functions) is shown to suffer from boundary effects in simulations of lattice polymers and the five-state Potts model. Here, we implement WLS using adaptive windows. Instead of defining ...

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ژورنال

عنوان ژورنال: Physical Review E

سال: 2008

ISSN: 1539-3755,1550-2376

DOI: 10.1103/physreve.78.055701