Next-nearest-neighbor Tight-binding Model of Plasmons in Graphene
V. Kadirko, K. Ziegler, and E. Kogan

TL;DR
This paper extends the tight-binding model of graphene to include next-nearest-neighbor interactions, analyzing their impact on plasmon excitation spectra through numerical dielectric function calculations.
Contribution
It introduces a next-nearest-neighbor tight-binding model for graphene and compares its plasmon spectrum with the traditional nearest-neighbor model.
Findings
Differences observed in plasmon dispersion between models
Next-nearest-neighbor coupling affects plasmon spectrum
Enhanced understanding of graphene plasmon behavior
Abstract
In this paper we investigate the influence of the next-nearest-neighbor coupling of tight-binding model of graphene on the spectrum of plasmon excitations. The nearest-neighbor tight-binding model was previously used to calculate plasmon spectrum in the next paper [1]. We expand the previous results of the paper by the next-nearest-neighbor tight-binding model. Both methods are based on the numerical calculation of the dielectric function of graphene and loss function. Here we compare plasmon spectrum of the next-nearest and nearest-neighbor tight-binding models and find differences between plasmon dispersion of two models.
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.
