Numerical Methods for Quasicrystals
Kai Jiang, Pingwen Zhang

TL;DR
This paper introduces a high-accuracy numerical projection method for computing quasicrystals using higher-dimensional reciprocal space, overcoming limitations of traditional approximant methods and efficiently maintaining symmetry.
Contribution
A novel projection method utilizing higher-dimensional reciprocal space is developed to accurately compute quasicrystals, surpassing traditional approximant approaches.
Findings
The method maintains rotational symmetry accurately.
It computes free energy density with high precision.
It reduces computational complexity by using a unit cell and pseudospectral method.
Abstract
Quasicrystals are one kind of space-filling structures. The traditional crystalline approximant method utilizes periodic structures to approximate quasicrystals. The errors of this approach come from two parts: the numerical discretization, and the approximate error of Simultaneous Diophantine Approximation which also determines the size of the domain necessary for accurate solution. As the approximate error decreases, the computational complexity grows rapidly, and moreover, the approximate error always exits unless the computational region is the full space. In this work we focus on the development of numerical method to compute quasicrystals with high accuracy. With the help of higher-dimensional reciprocal space, a new projection method is developed to compute quasicrystals. The approach enables us to calculate quasicrystals rather than crystalline approximants. Compared with the…
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Taxonomy
TopicsQuasicrystal Structures and Properties · X-ray Diffraction in Crystallography · Solidification and crystal growth phenomena
