Using Sequential Importance Sampling for Nonequilibrium Reweighting
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概要
- 論文の詳細を見る
この論文は国立情報学研究所の電子図書館事業により電子化されました。We present a reweighting method for nonequilibrium Markov processes. With nonequilibrium Monte Carlo simulations at one temperature, one calculates the averages of time dependent physical quantities for a range of temperatures. We propose that reweighting for nonequilibrium is most useful when combined with dynamical finite size scaling. The procedure is demonstrated for the Ising model and the driven diffusive lattice gas model in this paper.
- 物性研究刊行会の論文
- 2005-12-20
著者
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Lee Hwee
Department Of Physics Tokyo Metropolitan University
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OKABE Yutaka
Department of Physics,Tohoku University
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Okabe Yutaka
Department Of Physics Tokyo Metropolitan University
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Okabe Yutaka
Department Of Applied Chemistry Science And Engineering Waseda University
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