Voronoi Polyhedra as a Tool for Dealing with Spatial Structures of Amorphous Solids, Liquids and Dense Gases

W. Brostow (1,2), V. M. Castaño (1,2)

(1) Department of Materials Science, University of North Texas, Denton, TX 76203-5310, USA; brostow@unt.edu
(2) Instituto de Fisica, Universidad Nacional Autonoma de México A.P. 1010, Queretaro , Qro. 76000, Mexico; castano@marta.phys.unt.edu meneses@servidor.unam.mx

ABSTRACT

Methods of dealing with crystal structures are described in detail in every textbook of Materials Science and Engineering. Structures of non-crystalline materials (amorphous solids, liquids, dense gases) are no less important, but usually treated in textbooks briefly – if at all. Voronoi polyhedra have been employed for describing non-crystalline structures in a way at least complementary with other descriptions, and often more meaningful. The structure is divided into a set of polyhedra in a unique way, with a polyhedron assigned to each center (atom, ion, polymer chain segment). The Voronoi diagram (the set of polyhedra for a given set of centers) constitutes the basis of an informational theory of amorphous solids and liquids; the theory includes also the structure representation in terms of the radial distribution function. The Voronoi diagram and its mathematical dual, the Delaunay diagram, also make possible the distinction between a solid and a liquid, thus capturing the essence of the difference between these two states of matter. Pattern recognition can be performed by analyzing shapes of the Voronoi ployhedra. A procedure for contraction of short edges and small faces of the polyhedra is available; it provides slightly simplified structures, but with a large gain in the perspicuity. The pattern recognition method is also applicable to crystals, thus making possible comparisons of crystalline and non-crystalline structures in a simple way. The relation of the Voronoi polyhedra to the radial distribution function, a well-known tool used in diffractive imaging of materials to elucidate their spatial structure, is analyzed as well. Finally, alternative methods for characterizing the structures of materials are discussed.

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