Data from: Random-close packing limits for monodisperse and polydisperse hard spheres

We investigate how the densities of inherent structures, which we refer to
as the closest jammed configurations, are distributed for packings of
10000 frictionless hard spheres. A computational algorithm is introduced
to generate closest jammed configurations and determine corresponding
densities. Closest jamming densities for monodisperse packings generated
with high compression rates using Lubachevsky–Stillinger and force-biased
algorithms are distributed in a narrow density range from φ = 0.634-0.636
to φ ≈ 0.64; closest jamming densities for monodisperse packings generated
with low compression rates converge to φ ≈ 0.65 and grow rapidly when
crystallization starts with very low compression rates. We interpret φ ≈
0.64 as the random-close packing (RCP) limit and φ ≈ 0.65 as a lower bound
of the glass close packing (GCP) limit, whereas φ = 0.634-0.636 is
attributed to another characteristic (lowest typical, LT) density φLT. The
three characteristic densities φLT, φRCP and φGCP are determined for
polydisperse packings with log-normal sphere radii distributions.