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Fluids of strongly interacting dipoles: Monte Carlo sampling using Tsallis statistics. (English) Zbl 0978.82090

Summary: Monte Carlo simulations of dipolar hard-sphere fluids in a generalized ensemble based on the physical realisation of Tsallis probabilities are reported. The new algorithm leads to a significantly better sampling than the standard Monte Carlo method. At very low densities, when the dipolar system is characterized by the presence of polymeric chains of head-to-tail aligned dipoles, simulations with \(q>1\) may exhibit a better convergence to equilibrium. The improved sampling can be explained by the use in the generalized ensemble of an effective dipolar potential with a \(q\)-dependent anisotropy.

MSC:

82D15 Statistical mechanics of liquids
82B80 Numerical methods in equilibrium statistical mechanics (MSC2010)
82B30 Statistical thermodynamics
Full Text: DOI

References:

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