Nearest-surface distribution functions for polydispersed particle systems

Binglin Lu, S. Torquato

Research output: Contribution to journalArticle

182 Scopus citations

Abstract

Nearest-neighbor distribution functions characterize the probability of finding a nearest neighbor at some given distance from a reference point in systems of interacting particles and are of fundamental importance in a variety of problems in the physical and biological sciences. We extend the formalism of Torquato, Lu, and Rubinstein [Phys. Rev. A 41, 2059 (1990)] for identical spheres to obtain exact series representation of nearest-neighbor functions (void and particle probability densities) and closely related quantities for systems of interacting D-dimensional spheres with a polydispersivity in size. Polydispersivity constitutes a basic feature of the structure of random systems of particles and leads to a wider choice of possible definitions for nearest-neighbor functions. The most relevant definition for a polydispersed system of particles involves the nearest particle surface rather than the nearest particle center and thus we refer to them as nearest-surface distribution functions. For the special cases of D-dimensional hard and overlapping spheres, we obtain analytical expressions for the nearest-surface functions that are accurate for a wide range of sphere concentrations. Employing these results, we are able to compute the corresponding mean nearest-surface distances for polydispersed hard spheres. Finally, we determine the nearest-surface functions for bidispersed systems from Monte Carlo computer simulations and find that our theoretical results are in very good agreement with the data.

Original languageEnglish (US)
Pages (from-to)5530-5544
Number of pages15
JournalPhysical Review A
Volume45
Issue number8
DOIs
StatePublished - 1992

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics

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