Atomic scale characterization of graphene p-n junctions for electron-optical applications
Xiaodong Zhou, Alexander Kerelsky, Mirza M. Elahi, Dennis Wang, K. M., Masum Habib, Redwan N. Sajjad, Pratik Agnihotri, Ji Ung Lee, Avik W. Ghosh,, Frances M. Ross, Abhay N. Pasupathy

TL;DR
This study uses atomic-scale microscopy to analyze graphene p-n junctions, revealing non-idealities affecting electron-optical applications and providing benchmarks for future device improvements.
Contribution
The paper provides detailed atomic-scale characterization of graphene p-n junctions, linking geometric and doping profiles to electron-optical performance, and suggests methods to improve junction quality.
Findings
Natural graphite gates improve junction geometry.
Lateral interface roughness limits Veselago focusing.
Doping profile non-linearity hampers carrier collimation.
Abstract
Graphene p-n junctions offer a potentially powerful approach towards controlling electron trajectories via collimation and focusing in ballistic solid-state devices. The ability of p-n junctions to control electron trajectories depends crucially on the doping profile and roughness of the junction. Here, we use four-probe scanning tunneling microscopy and spectroscopy (STM/STS) to characterize two state-of-the-art graphene p-n junction geometries at the atomic scale, one with CMOS polySi gates and another with naturally cleaved graphite gates. Using spectroscopic imaging, we characterize the local doping profile across and along the p-n junctions. We find that realistic junctions exhibit non-ideality both in their geometry as well as in the doping profile across the junction. We show that the geometry of the junction can be improved by using the cleaved edge of van der Waals metals such…
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.
