Imaging Stacking Order in Few-Layer Graphene
Chun Hung Lui, Zhiqiang Li, Zheyuan Chen, Paul V. Klimov, Louis E., Brus, and Tony F. Heinz

TL;DR
This paper presents a Raman imaging technique to accurately identify and visualize stacking sequences in few-layer graphene, revealing stable rhombohedral domains in exfoliated samples.
Contribution
The authors develop a novel Raman-based method for spatially resolving stacking order in FLG, enabling direct visualization of stacking domains.
Findings
15% of tri- and tetra-layer graphene has rhombohedral stacking domains
Rhombohedral domains are micron-sized and stable at high temperatures
The method allows direct visualization of stacking sequences in FLG
Abstract
Few-layer graphene (FLG) has been predicted to exist in various crystallographic stacking sequences, which can strongly influence the electronic properties of FLG. We demonstrate an accurate and efficient method to characterize stacking order in FLG using the distinctive features of the Raman 2D-mode. Raman imaging allows us to visualize directly the spatial distribution of Bernal (ABA) and rhombohedral (ABC) stacking in tri- and tetra-layer graphene. We find that 15% of exfoliated graphene tri- and tetra-layers is comprised of micron-sized domains of rhombohedral stacking, rather than of usual Bernal stacking. These domains are stable and remain unchanged for temperatures exceeding C.
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.
