Compact Polyhedra of Cubic Symmetry: Geometrical Analysis and Classification
KLaus E. Hermann

TL;DR
This paper provides a detailed geometrical analysis and classification of compact polyhedra with cubic symmetry, introducing parameters that describe their shape and size, with applications to nanoparticle shape estimation.
Contribution
It introduces a systematic classification scheme for compact polyhedra of cubic symmetry using a minimal set of parameters, expanding understanding of their geometrical properties.
Findings
Polyhedra are characterized by three or four structure parameters.
Shape, size, and surface facets are analytically described.
Relationships enable shape classification and size estimation of nanoparticles.
Abstract
Compact polyhedra of cubic point symmetry Oh, exhibit surfaces of planar sections (facets) characterized by normal vector families {abc} with up to 48 members each, compatible with Oh symmetry. We focus first on polyhedra confined by facets with normal vectors of one family, {100}, {110}, and {111}, separately. This yields generic polyhedra which serve for the definition of general compact polyhedra as intersections of the three generic species. Their structural properties, such as shape, size, volume, and surface facets, are found to be described by only three polyhedral structure parameters A, B, C. In addition, we examine compact polyhedra exhibiting facets defined by normal vectors of only one general {abc} family resulting in up to 48 facets. These polyhedra can be described by four polyhedral structure parameters Q, a, b, c. Geometrical properties of all polyhedra are discussed in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNanocluster Synthesis and Applications · Quasicrystal Structures and Properties · Supramolecular Self-Assembly in Materials
