• DOI:10.1103/PhysRevE.87.022111
• Corpus ID: 11417012

Effect of dimensionality on the percolation threshold of overlapping nonspherical hyperparticles.

@article{Torquato2012EffectOD,
  title={Effect of dimensionality on the percolation threshold of overlapping nonspherical hyperparticles.},
  author={Salvatore Torquato and Yang Jiao},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  year={2012},
  volume={87 2},
  pages={
          022111
        }
}

• S. Torquato, Y. Jiao
• Published 29 September 2012
• Computer Science
• Physical review. E, Statistical, nonlinear, and soft matter physics

We study the effect of dimensionality on the percolation threshold η(c) of identical overlapping nonspherical convex hyperparticles in d-dimensional Euclidean space R(d). This is done by formulating a scaling relation for η(c) that is based on a rigorous lower bound [Torquato, J. Chem. Phys. 136, 054106 (2012)] and a conjecture that hyperspheres provide the highest threshold, for any d, among all convex hyperparticle shapes (that are not a trivial affine transformation of a hypersphere). This scaling relation also exploits the recently discovered principle that low-dimensional continuum percolation behavior encodes high-dimensional information. We derive an explicit formula for the exclusion volume v(ex) of a hyperparticle of arbitrary shape in terms of its d-dimensional volume v, surface area s, and radius of mean curvature R[over ¯] (or, equivalently, mean width). These basic geometrical properties are computed for a wide variety of nonspherical hyperparticle shapes with random orientations across all dimensions, including, among other shapes, various polygons for d=2, Platonic solids, spherocylinders, parallepipeds, and zero-volume plates for d=3 and their appropriate generalizations for d≥4. Using this information, we compute the lower bound and scaling relation for η(c) for this comprehensive set of continuum percolation models across dimensions. We demonstrate that the scaling relation provides accurate upper-bound estimates of the threshold η(c) across dimensions and becomes increasingly accurate as the space dimension increases.