Algorithm for Generating Quasiperiodic Packings of Multi-Shell Clusters
Nicolae Cotfas

TL;DR
This paper introduces an efficient mathematical approach and algorithm for generating high-dimensional quasiperiodic packings of multi-shell clusters, significantly improving computational feasibility for complex quasicrystal models.
Contribution
The authors develop mathematical results enabling direct generation of quasiperiodic packings in high-dimensional spaces with reduced computational complexity.
Findings
Efficient computation of determinants for 2D and 3D clusters regardless of superspace dimension.
Successful generation of complex 3-shell icosahedral cluster packings in 31-dimensional space.
The computer program can produce hundreds of points in minutes on a personal computer.
Abstract
Many of the mathematical models used in quasicrystal physics are based on tilings of the plane or space obtained by using strip projection method in a superspace of dimension four, five or six. We present some mathematical results which allow one to use this very elegant method in spaces of dimension much higher and to generate directly quasiperiodic packings of multi-shell clusters. We show that in the case of a two-dimensional (resp. three-dimensional) cluster we have to compute only determinants of order three (resp. four), independently of the dimension of the superspace we use. The computer program based on our mathematical results is very efficient. For example, we can easily generate quasiperiodic packings of three-shell icosahedral clusters (icosahedron + dodecahedron + icosidodecahedron) by using strip projection method in a 31-dimensional space (hundreds of points are obtained…
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
TopicsQuasicrystal Structures and Properties · Material Science and Thermodynamics
