二进制数
统计物理学
普遍性(动力系统)
数学
分数(化学)
航程(航空)
原子堆积因子
二进制数据
维里系数
简单(哲学)
应用数学
缩放比例
概率分布
热力学
混合物分布
随机过程
统计
算法
蒙特卡罗方法
作者
Andrés Santos,M. López de Haro
摘要
We propose a simple and accurate approach to estimate the random close packing (RCP) fraction of binary hard-disk mixtures. By introducing a parameter based on the mixture's reduced third virial coefficient-which effectively captures three-body correlations and excluded-area constraints-we show that the RCP fraction depends nearly linearly on this parameter, leading to a near-universal collapse of simulation data over a wide range of size ratios and compositions. Comparisons with previous models by Brouwers and Zaccone indicate that the present approach provides more accurate and consistent predictions. The method can be naturally extended to polydisperse mixtures with continuous size distributions and is structurally consistent with the surplus equation-of-state formulation, offering a compact framework for understanding the near universality of RCP in hard-disk systems.
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