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arXiv 2201.01296cond-mat.stat-mechcond-mat.str-elphysics.comp-ph
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在巨正则蒙特卡罗模拟中实现目标粒子数的化学势的动态调谐

Dynamical tuning of the chemical potential to achieve a target particle number in grand canonical Monte Carlo simulations

Cole Miles, Benjamin Cohen-Stead, Owen Bradley, Steven Johnston, Richard Scalettar, Kipton Barros

摘要:

我们提出了一种方法,以方便蒙特卡罗模拟在巨正则系综给定的目标平均粒子数。该方法对化学势施加虚拟动力学,与物理系统的Monte Carlo采样同时运行。根据粒子数的平均值和方差的时间平均估计值对化学势进行校正,后者与热力学压缩性成比例。我们进行了各种测试,并在所有情况下发现快速收敛的化学势-不精确的调整算法只占一小部分的总测量误差的现实模拟。

英文摘要:

We present a method to facilitate Monte Carlo simulations in the grand canonical ensemble given a target mean particle number. The method imposes a fictitious dynamics on the chemical potential, to be run concurrently with the Monte Carlo sampling of the physical system. Corrections to the chemical potential are made according to time-averaged estimates of the mean and variance of the particle number, with the latter being proportional to thermodynamic compressibility. We perform a variety of tests, and in all cases find rapid convergence of the chemical potential -- inexactness of the tuning algorithm contributes only a minor part of the total measurement error for realistic simulations.

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