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Determination of second virial coefficients by grand canonical Monte Carlo simulations

机译:大正则蒙特卡罗模拟确定第二维里系数

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In this communication, we investigate the use of grand canonical Monte Carlo simulations to estimate the second virial coefficient. Histogram reweighting calculations were performed to collect two-dimensional histogram for the number of particles and the energy to evaluate the density and pressure at low density. The histogram collected is reweighted for a series of chemical potentials to accumulate pressure, density, and temperature data along the isotherm to obtain the second virial coefficient. While exact calculation of second virial coefficients for arbitrary systems (e.g. mixtures and polyatomic molecules) involves multidimensional integrals, grand canonical simulations can, in principle, provide equation of state information from simulations at appropriately low densities. Our results indicate that the methodology yields reasonable estimates of the second virial coefficient. Agreement to analytical and experimental values is within a few percent for a variety of model and real fluids. There are however practical accuracy issues associated with this method. We discuss why this approach fails to find more precise values of the second virial coefficient even when long runs are used. (C) 2004 Elsevier B.V. All rights reserved.
机译:在此交流中,我们研究了使用大经典蒙特卡洛模拟来估算第二维里系数。进行直方图加权计算以收集颗粒数量和能量的二维直方图,以评估低密度下的密度和压力。对一系列化学势重新加权收集的直方图,以沿等温线累积压力,密度和温度数据,以获得第二维里系数。精确计算任意系统(例如混合物和多原子分子)的第二维里系数涉及多维积分,但原则上大正则模拟可以在适当低密度下从模拟中提供状态信息方程。我们的结果表明,该方法可以得出第二维里系数的合理估计值。对于各种模型和实际流体,与分析值和实验值的一致性在百分之几之内。但是,这种方法存在实际的准确性问题。我们讨论了为什么即使使用长时间运行,这种方法也无法找到更精确的第二维里系数值的原因。 (C)2004 Elsevier B.V.保留所有权利。

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