Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2011-06-23
Phys. Rev. E 84, 051103 (2011)
Physics
Condensed Matter
Disordered Systems and Neural Networks
31 pages, 18 figures; long version of arXiv:1011.5638
Scientific paper
10.1103/PhysRevE.84.051103
We develop a microscopic theory to analyze the phase behaviour and compute correlation functions of dense assemblies of soft repulsive particles both at finite temperature, as in colloidal materials, and at vanishing temperature, a situation relevant for granular materials and emulsions. We use a mean-field statistical mechanical approach which combines elements of liquid state theory to replica calculations to obtain quantitative predictions for the location of phase boundaries, macroscopic thermodynamic properties and microstructure of the system. We focus in particular on the derivation of scaling properties emerging in the vicinity of the jamming transition occurring at large density and zero temperature. The new predictions we obtain for pair correlation functions near contact are tested using computer simulations. Our work also clarifies the conceptual nature of the jamming transition, and its relation to the phenomenon of the glass transition observed in atomic liquids.
Berthier Ludovic
Jacquin Hugo
Zamponi Francesco
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