Quasicrystalline 30{\deg} Twisted Bilayer Graphene as an Incommensurate Superlattice with Strong Interlayer Coupling
Wei Yao, Eryin Wang, Changhua Bao, Yiou Zhang, Kenan Zhang, Kejie Bao,, Chun Kai Chan, Chaoyu Chen, Jose Avila, Maria C. Asensio, Junyi Zhu, Shuyun, Zhou

TL;DR
This study demonstrates the successful growth and electronic characterization of quasicrystalline 30° twisted bilayer graphene, revealing strong interlayer coupling and novel electronic features in an incommensurate superlattice.
Contribution
It provides the first experimental realization of quasicrystalline twisted bilayer graphene with detailed electronic structure analysis, highlighting the role of interlayer coupling in incommensurate superlattices.
Findings
Confirmation of 30° twisted bilayer graphene via diffraction and Raman spectroscopy.
Observation of mirrored Dirac cones and a gap indicating strong interlayer coupling.
Evidence of generalized Umklapp scattering mechanism in incommensurate superlattice.
Abstract
The interlayer coupling can be used to engineer the electronic structure of van der Waals heterostructures (superlattices) to obtain properties that are not possible in a single material. So far research in heterostructures has been focused on commensurate superlattices with a long-ranged Moir\'e period. Incommensurate heterostructures with rotational symmetry but not translational symmetry (in analogy to quasicrystals) are not only rare in nature, but also the interlayer interaction has often been assumed to be negligible due to the lack of phase coherence. Here we report the successful growth of quasicrystalline 30{\deg} twisted bilayer graphene (30{\deg}-tBLG) which is stabilized by the Pt(111) substrate, and reveal its electronic structure. The 30{\deg}-tBLG is confirmed by low energy electron diffraction and the intervalley double-resonance Raman mode at 1383 cm. Moreover,…
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.
