Plasmon resonance in multilayer graphene nanoribbons. Issue 6 (26th October 2015)

• Record Type: Journal Article
• Authors: Emani, Naresh Kumar; Wang, Di; Chung, Ting‐Fung; Prokopeva, Ludmila J.; Kildishev, Alexander V.; Shalaev, Vladimir M.; Chen, Yong P.; Boltasseva, Alexandra
• Is Part Of: Laser & photonics reviews. Volume 9:Issue 6(2015:Nov.)
• Page Start: 650
• Page End: 655
• Publication Date: 2015-10-26
• Subjects: Graphene plasmonics -- multilayer CVD graphene -- plasmon–substrate phonon interaction; Lasers -- Periodicals; Photonics -- Periodicals; Lasers -- Périodiques; Photonique -- Périodiques; 621.36
• DOI: 10.1002/lpor.201500058
• Languages: English
• ISSNs: 1863-8880

Abstract

Abstract : Plasmons in graphene nanostructures offer unprecedented opportunities to confine and manipulate light at mid‐IR wavelengths. However, there are also significant challenges which need to be addressed before we realize practical devices. This article presents experimental work on plasmons in multilayer graphene nanoribbons. The measurements are compared with numerical simulations to extract 'realistic' material parameters. Abstract: Plasmon resonances in nanopatterned single‐layer graphene nanoribbons (SL‐GNRs), double‐layer graphene nanoribbons (DL‐GNRs) and triple‐layer graphene nanoribbons (TL‐GNRs) are studied experimentally using 'realistic' graphene samples. The existence of electrically tunable plasmons in stacked multilayer graphene nanoribbons was first experimentally verified by infrared microscopy. We find that the strength of the plasmonic resonance increases in DL‐GNRs when compared to SL‐GNRs. However, further increase was not observed in TL‐GNRs when compared to DL‐GNRs. We carried out systematic full‐wave simulations using a finite‐element technique to validate and fit experimental results, and extract the carrier‐scattering rate as a fitting parameter. The numerical simulations show remarkable agreement with experiments for an unpatterned SLG sheet, and a qualitative agreement for a patterned graphene sheet. We conclude with our perspective of the key bottlenecks in both experiments and theoretical models.