A simple effective rule to estimate the jamming packing fraction of polydisperse hard spheres
arXiv:1402.3443 · doi:10.1103/PhysRevE.89.040302
Abstract
A recent proposal in which the equation of state of a polydisperse hard-sphere mixture is mapped onto that of the one-component fluid is extrapolated beyond the freezing point to estimate the jamming packing fraction of the polydisperse system as a simple function of , where is the th moment of the size distribution. An analysis of experimental and simulation data of for a large number of different mixtures shows a remarkable general agreement with the theoretical estimate. To give extra support to the procedure, simulation data for seventeen mixtures in the high-density region are used to infer the equation of state of the pure hard-sphere system in the metastable region. An excellent collapse of the inferred curves up to the glass transition and a significant narrowing of the different out-of-equilibrium glass branches all the way to jamming are observed. Thus, the present approach provides an extremely simple criterion to unify in a common framework and to give coherence to data coming from very different polydisperse hard-sphere mixtures.
5 pages, 3 figures; v2: slight changes plus new references
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Cited by in corpus (12)
- Influence of Particle Size Distribution on Random Close Packing
- Structural and Thermodynamic Properties of Hard-Sphere Fluids
- Sub-Jamming Transition in Binary Sphere Mixtures
- Equation of state of polydisperse hard-disk mixtures in the high-density regime
- Chemical potential of a test hard sphere of variable size in hard-sphere fluid mixtures
- Equation of State of Four- and Five-Dimensional Hard-Hypersphere Mixtures
- Discontinuous Shear Thickening (DST) transition with spherical iron particles coated by adsorbed brush polymer
- Influence of the Long-Range Forces in Non-Gaussian Random-Packing Dynamics
- A heuristic approach for the densest packing fraction of hard-sphere mixtures
- Protein folding as a jamming transition
- Effects of the long-range cohesive forces in binary particle packing dynamics
- Predicting random close packing of binary hard-disk mixtures via third-virial-based parameters