Using Sequential Importance Sampling for Nonequilibrium Reweighting



Hwee Kuan Lee and Yutaka OkabeiTokyo Metropolitan Universityj


We propose a reweighting scheme, based on the Sequential Importance Sampling, for nonequilibrium systems. Where only simulations at one temperature are required to caculate the time evolution of physical quantities for a range of temperatures. This method is general and may be applied in various areas such as nonequilibrium relaxation and nonequilibrium steady state studies. This method may also be combined with different Monte Carlo update schemes. We will illustrate its implementation on nonequilibrium relaxation of Ising model and dynamical behavior of the driven diffusive lattice gas.

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