Analytical solution for the polydisperse random close packing problem in 2D
Abstract
An analytical theory for the random close packing density, , of polydisperse hard disks is provided using an equilibrium model of crowding [A. Zaccone, Phys. Rev. Lett. 128, 028002 (2022)] which has been justified on the basis of extensive numerical analysis of the maximally random jammed (MRJ) line in the phase diagram of hard spheres [Anzivino et al., J. Chem. Phys. 158, 044901 (2023)]. The solution relies on the equations of state for the hard disk fluid and provides predictions for as a function of the ratio, , of the standard deviation of the distribution of disk diameters to its mean. For a power-law size distribution with , the theory yields , which compares well with the most recent numerical estimate based on the Monte-Carlo swap algorithms [Ghimenti, Berthier, van Wijland, Phys. Rev. Lett. 133, 028202 (2024)].
Cite
@article{arxiv.2502.03354,
title = {Analytical solution for the polydisperse random close packing problem in 2D},
author = {Alessio Zaccone},
journal= {arXiv preprint arXiv:2502.03354},
year = {2025}
}