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Set Voronoi diagrams of 3D assemblies of aspherical particles
Authors:Fabian M Schaller  Sebastian C Kapfer  Myfanwy E Evans  Matthias JF Hoffmann  Tomaso Aste  Mohammad Saadatfar
Institution:1. Theoretische Physik, Friedrich-Alexander-Universit?t, 91058, Erlangen, Germany.;2. Max Planck Institute for Dynamics and Self-Organization, 37077, G?ttingen, Germany.;3. Laboratoire de Physique Statistique, école normale supérieure, 75231, Paris, France.;4. Department of Computer Science, University College London, London, UK.;5. Applied Maths, Research School of Physics, Australian National University, Canberra, Australia.
Abstract:Abstract

Several approaches to quantitative local structure characterization for particulate assemblies, such as structural glasses or jammed packings, use the partition of space provided by the Voronoi diagram. The conventional construction for spherical mono-disperse particles, by which the Voronoi cell of a particle is that of its centre point, cannot be applied to configurations of aspherical or polydisperse particles. Here, we discuss the construction of a Set Voronoi diagram for configurations of aspherical particles in three-dimensional space. The Set Voronoi cell of a given particle is composed of all points in space that are closer to the surface (as opposed to the centre) of the given particle than to the surface of any other; this definition reduces to the conventional Voronoi diagram for the case of mono-disperse spheres. An algorithm for the computation of the Set Voronoi diagram for convex particles is described, as a special case of a Voronoi-based medial axis algorithm, based on a triangulation of the particles’ bounding surfaces. This algorithm is further improved by a pre-processing step based on morphological erosion, which improves the quality of the approximation and circumvents the problems associated with small degrees of particle–particle overlap that may be caused by experimental noise or soft potentials. As an application, preliminary data for the volume distribution of disordered packings of mono-disperse oblate ellipsoids, obtained from tomographic imaging, is computed.
Keywords:Set Voronoi diagram  ellipsoid packings  random close packing  aspherical particles  medial axes and surfaces  Area Voronoi diagram  navigation map  skeleton by zone of influence
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