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- W2034202610 abstract "Standard simulation techniques often show nonergodic trajectories when sampling systems with high energy barriers. The slow convergence of the configurational thermal averages leads to extended simulations at the limit of computational resources, and uncertainty is introduced in the final results. In this paper we devise a strategy for avoiding these problems, based on performing a set of replica simulations of the same system. The initial configurations are obtained according to the ensemble equilibrium distribution function. We propose to carry out an annealing process from a reference ergodic system to the actual system. At each step of the annealing trail we sample each replica with a standard simulation algorithm, and by using an umbrella sampling technique we define the starting configurations of the set of replicas for the next step. We test the method with the familiar 2-dimensional lattice of Ising magnets. Below the transition temperature there is a pronounced tendency for trapping in metastable ordered states." @default.
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- W2034202610 date "1992-05-01" @default.
- W2034202610 modified "2023-10-01" @default.
- W2034202610 title "Numerical simulation of effectively nonergodic systems" @default.
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- W2034202610 doi "https://doi.org/10.1080/00268979200101261" @default.
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