Quasilattice-conserved optimization of the atomic structure of decagonal Al-Co-Ni quasicrystals
Xiao-Tian Li, Xiao-Bao Yang, and Yu-Jun Zhao

TL;DR
This paper introduces a novel quasilattice-conserved optimization method (quasiOPT) for accurately modeling the atomic structure of decagonal Al-Co-Ni quasicrystals, maintaining their self-similarity and stability.
Contribution
The paper presents a new optimization approach that preserves quasicrystal self-similarity using boundary conditions, enabling more stable atomic structure modeling of decagonal Al-Co-Ni quasicrystals.
Findings
Proposed a stable atomic structure model based on Penrose quasilattice.
Developed the quasiOPT method with quasiperiodic boundary conditions.
Suggested 'rectangle-triangle' rules for local atomic structures.
Abstract
The detailed atomic structure of quasicrystals has been an open question for decades. Here, we present a quasilattice-conserved optimization method (quasiOPT), with particular quasiperiodic boundary conditions. As the atomic coordinates described by basic cells and quasilattices, we are able to maintain the self-similarity characteristics of qusicrystals with the atomic structure of the boundary region updated timely following the relaxing region. Exemplified with the study of decagonal Al-Co-Ni (d-Al-Co-Ni), we propose a more stable atomic structure model based on Penrose quasilattice and our quasiOPT simulations. In particular, "rectangle-triangle" rules are suggested for the local atomic structures of d-Al-Co-Ni quasicrystals.
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.
