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- W2964134741 abstract "Abstract The jump-walking Monte-Carlo algorithm is revisited and updated to study the equilibrium properties of systems exhibiting quasi-nonergodicity. It is designed for a single processing thread as opposed to currently predominant algorithms for large parallel processing systems. The updated algorithm is tested on the Ising model and applied to the lattice-gas model for sorption in aerogel at low temperatures, when dynamics of the system is critically slowed down. It is demonstrated that the updated jump-walking simulations are able to produce equilibrium isotherms which are typically hidden by the hysteresis effect characteristic of the standard single-flip simulations." @default.
- W2964134741 created "2019-07-30" @default.
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- W2964134741 date "2017-05-22" @default.
- W2964134741 modified "2023-09-25" @default.
- W2964134741 title "A single-walker approach for studying quasi-nonergodic systems" @default.
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- W2964134741 doi "https://doi.org/10.1038/s41598-017-01704-5" @default.
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