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Dynamic Monte Carlo method
About: Dynamic Monte Carlo method is a research topic. Over the lifetime, 13294 publications have been published within this topic receiving 371256 citations.
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81 citations
TL;DR: In this paper, two methodologies to propagate the uncertainties on the nuclide inventory in combined Monte Carlo-spectrum and burn-up calculations are presented, based on sensitivity/uncertainty and random sampling techniques.
81 citations
TL;DR: The performance of some popular random number generators is compared by high precision Monte Carlo simulation of the 2-d Ising model, for which exact results are known, using the Metropolis, Swendsen-Wang, and Wolff Monte Carlo algorithms.
Abstract: Monte Carlo simulation is one of the main applications involving the use of random number generators. It is also one of the best methods of testing the randomness properties of such generators, by comparing results of simulations using different generators with each other, or with analytic results. Here we compare the performance of some popular random number generators by high precision Monte Carlo simulation of the 2-d Ising model, for which exact results are known, using the Metropolis, Swendsen-Wang, and Wolff Monte Carlo algorithms. Many widely used generators that perform well in standard statistical tests are shown to fail these Monte Carlo tests.
81 citations
TL;DR: In this paper, the Gibbs ensemble technique combined with configurational-bias Monte Carlo method was used to simulate the intermolecular interactions of methane-alkane mixtures, and liquid-vapour phase diagrams were calculated for both methane-n-pentane and methane n-dodecane mixture.
Abstract: We report molecular simulations of methane–alkane mixtures using the Gibbs ensemble technique combined with the configurational-bias Monte Carlo method. The intermolecular interactions are modeled using both the united atom model with parameters proposed by Smit et al. and the anisotropic united atom model by Toxvaerd. Liquid-vapour phase diagrams are calculated for methane-n-pentane and methane-n-dodecane mixtures using these two potential models and compared with experimental results.
81 citations
TL;DR: Comparisons of performances of these algorithms together with the regular replica-exchange method are made, taking a more complex system of a 17-residue helical peptide, and it is shown that these two new algorithms are more efficient than the regular replicas exchange method.
Abstract: In Paper I of this series the formulations of the replica-exchange multicanonical algorithm and the multicanonical replica-exchange method for Monte Carlo versions have been presented. The effectiveness of these algorithms were then tested with the system of a penta peptide, Met-enkephalin, in the gas phase. In this article the detailed comparisons of performances of these algorithms together with the regular replica-exchange method are made, taking a more complex system of a 17-residue helical peptide. It is shown that these two new algorithms are more efficient than the regular replica-exchange method.
81 citations