论文标题
带有玻色网统计的经典气体的蒙特卡洛模拟不平衡的蒙特卡洛模拟
Out-of-equilibrium Monte Carlo simulations of a classical gas with Bose-Einstein statistics
论文作者
论文摘要
使用具有有效相互作用的经典颗粒系统测试了蒙特卡洛模拟中的过渡概率的算法，这些系统会繁殖Bose-Einstein统计。该系统适用于在不平衡情况下测试不同的蒙特卡洛模拟方法，因为产生了非同等结果。我们比较了从Glauber和Metropolis算法得出的过渡概率获得的迁移率数值结果。然后，我们将它们与最新方法（插值算法）进行比较，该算法适用于均质基质中的非平衡系统，没有相变。从插值算法获得的迁移率的结果是通过低浓度的分子动力学模拟来定性验证的。
Algorithms to determine transition probabilities in Monte Carlo simulations are tested using a system of classical particles with effective interactions which reproduce Bose-Einstein statistics. The system is appropriate for testing different Monte Carlo simulation methods in out-of-equilibrium situations since non equivalent results are produced. We compare mobility numerical results obtained with transition probabilities derived from Glauber and Metropolis algorithms. Then, we compare these with a recent method, the interpolation algorithm, appropriate for non-equilibrium systems in homogeneous substrata and without phase transitions. The results of mobility obtained from the interpolation algorithm are qualitatively verified with molecular dynamics simulations for low concentrations.
