Generalized-ensemble Monte carlo method for systems with rough energy landscape
arXiv:cond-mat/9710306 · doi:10.1103/PhysRevE.56.2228
Abstract
We present a novel Monte Carlo algorithm which enhances equilibrization of low-temperature simulations and allows sampling of configurations over a large range of energies. The method is based on a non-Boltzmann probability weight factor and is another version of the so-called generalized-ensemble techniques. The effectiveness of the new approach is demonstrated for the system of a small peptide, an example of the frustrated system with a rugged energy landscape.
Latex; ps-files included
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