Theory of Landau level mixing in heavily graded graphene p-n junctions
Samuel W LaGasse, Ji Ung Lee

TL;DR
This paper presents a quantum transport model to analyze Landau level mixing in heavily graded graphene p-n junctions, revealing how junction width and disorder influence Landau level separation and mixing suppression.
Contribution
It introduces a novel simulation approach that spatially resolves carrier transport, demonstrating the impact of junction grading on Landau level mixing in graphene.
Findings
Wide p-n junctions suppress mixing of higher Landau levels.
Spatial separation of Landau levels reduces level mixing.
Simulations match experimental observations from literature.
Abstract
We demonstrate the use of a quantum transport model to study heavily graded graphene p-n junctions in the quantum Hall regime. A combination of p-n interface roughness and delta function disorder potential allows us to compare experimental results on different devices from the literature. We find that wide p-n junctions suppress mixing of Landau levels. Our simulations spatially resolve carrier transport in the device, for the first time, revealing separation of higher order Landau levels in strongly graded junctions, which suppresses mixing.
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.
