Supercell-size scaling of moir\'e band flatness
Peilong Hong, Yuge Qiu, Wenjing Li, Yiyin Peng, Yu Wang, Liwei Zhang, Mingfang Yi, Yuandi He, Peng Cheng, Wangping Cheng, Yi Liang, and Guoquan Zhang

TL;DR
This paper establishes a universal scaling law linking moiré supercell size to band flatness, providing a theoretical framework and simulations that enhance understanding and design of moiré-based systems.
Contribution
It introduces a scaling theory connecting supercell size and band flatness using the Thouless number, supported by analytical derivations and full-wave simulations.
Findings
Established a universal scaling law for moiré band flatness.
Derived an analytical expression for flatness evolution with supercell size.
Validated the theory with simulations in 1D and 2D moiré superlattices.
Abstract
In moir\'e superlattices, the band flatness governs the degree of wave localization, which is central to harnessing emergent phenomena and designing functional meta-devices. While research has focused on the magic conditions such as magic angle and magic distance for optimal flatness, a fundamental understanding of how flatness changes with the supercell size has remained elusive. Here, we establish a universal scaling between band flatness and supercell size. Theoretically, by recognizing the statistical equivalence between structural perturbations in moir\'e superlattices and disordered systems, we introduce the Thouless number to evaluate the strength of moir\'e localization. This approach allows us to establish a scaling theory for the evolution of band flatness with the supercell size, from which an analytical expression is derived. Our full-wave simulations with one-dimensional…
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.
