Jamming II: Edwards' statistical mechanics of random packings of hard spheres
Ping Wang, Chaoming Song, Yuliang Jin, Hernan A. Makse

TL;DR
This paper develops a statistical mechanics framework to explain the density limits of random sphere packings, predicting RLP and RCP densities based on jammed states and compactivity, unifying the understanding of disordered packings.
Contribution
It introduces a theoretical model combining Edwards' statistical mechanics with mechanical stability constraints to predict packing density limits.
Findings
Predicts RLP density at approximately 54%
Predicts RCP density at approximately 63%
Provides a phase diagram unifying disordered sphere packings
Abstract
The problem of finding the most efficient way to pack spheres has an illustrious history, dating back to the crystalline arrays conjectured by Kepler and the random geometries explored by Bernal in the 60's. This problem finds applications spanning from the mathematician's pencil, the processing of granular materials, the jamming and glass transitions, all the way to fruit packing in every grocery. There are presently numerous experiments showing that the loosest way to pack spheres gives a density of ~55% (RLP) while filling all the loose voids results in a maximum density of ~63-64% (RCP). While those values seem robustly true, to this date there is no physical explanation or theoretical prediction for them. Here we show that random packings of monodisperse hard spheres in 3d can pack between the densities 4/(4 + 2 \sqrt 3) or 53.6% and 6/(6 + 2 \sqrt 3) or 63.4%, defining RLP and…
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