2014/01/01 by Adrian Baule, Hernán A. Makse
Agricultural and Biological Sciences · Materials Science · Mathematics · Physics and Astronomy · #Atomic packing factor #Classical mechanics #Computer science #Constant (computer programming) #Geometry #Material Dynamics and Properties #Mathematics #Physics #Pickering emulsions and particle stabilization #Proteins in Food Systems #Quantum mechanics #Sphere packing #Statistical mechanics #Statistical physics #Theoretical physics #Volume (thermodynamics) #Work (physics) #cond-mat.soft #cond-mat.stat-mech
paper · pdf · doi:10.1039/c3sm52783b
published as Soft Matter 10, 4423 (2014) · Highlight article in Soft Matter
openalex publication_date 2014/01/01 · arxiv created 2014/02/24 · arxiv updated 2014/06/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05
Random packings of objects of a particular shape are ubiquitous in science and engineering. However, such jammed matter states have eluded any systematic theoretical treatment due to the strong positional and orientational correlations involved. In recent years progress on a fundamental description of jammed matter could be made by starting from a constant volume ensemble in the spirit of conventional statistical mechanics. Recent work has shown that this approach, first introduced by S. F. Edwards more than two decades ago, can be cast into a predictive framework to calculate the packing fractions of both spherical and non-spherical particles.