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The concept of mean free path in the kinetic Monte Carlo description of bulk fluid behaviour, vapour-liquid equilibria and surface adsorption of argon

机译:动力学蒙特卡洛描述体流体行为,蒸气-液体平衡和氩气表面吸附的平均自由程概念

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摘要

Recently, kinetic Monte Carlo (kMC) simulation has been successfully applied to describe bulk fluid behaviour, vapour-liquid equilibrium and adsorption on a graphite surface [Ustinov and Do, J. Colloid Interf. Sci. 366(1) (2012), pp. 216-223]. Its advantage over Metropolis-MC lies in the excellent sampling of the energy space for the direct determination of the chemical potential. In this paper, we address the mechanics of the displacement of a particle, which is the only step in kMC. By invoking the mean free path (MFP) concept and the average travel distance, we establish the connection between the particle sampling of the volume space and the distance of travel of the particle related to the MFP through the Beer-Lambert law. We apply this procedure to vapour-liquid equilibrium in bulk fluid argon and to adsorption of argon on a graphite surface, and demonstrate that the results are entirely consistent with previous simulations.
机译:最近,动力学蒙特卡罗(kMC)模拟已成功地用于描述大量流体的行为,汽液平衡以及在石墨表面的吸附[Ustinov and Do,J. Colloid Interf。科学366(1)(2012),216-223页]。与Metropolis-MC相比,它的优势在于可以直接确定化学势的出色的能量空间采样。在本文中,我们解决了粒子位移的力学问题,这是kMC中的唯一步骤。通过引用平均自由程(MFP)概念和平均行进距离,我们通过比尔-朗伯定律建立了体积空间的粒子采样与与MFP相关的粒子行进距离之间的联系。我们将此程序应用于散装流体氩中的汽-液平衡以及氩在石墨表面上的吸附,并证明结果与先前的模拟完全一致。

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