Literature DB >> 32225912

Graphene-based hyperbolic metamaterial as a switchable reflection modulator.

Alessandro Pianelli, Rafał Kowerdziej, Michał Dudek, Karol Sielezin, Marek Olifierczuk, Janusz Parka.   

Abstract

A tunable graphene-based hyperbolic metamaterial is designed and numerically investigated in the mid-infrared frequencies. Theoretical analysis proves that by adjusting the chemical potential of graphene from 0.2 eV to 0.8 eV, the reflectance can be blue-shifted up to 2.3 µm. Furthermore, by modifying the number of graphene monolayers in the hyperbolic metamaterial stack, we are able to shift the plasmonic resonance up to 3.6 µm. Elliptic and type II hyperbolic dispersions are shown for three considered structures. Importantly, a blue/red-shift and switching of the reflectance are reported at different incident angles in TE/TM modes. The obtained results clearly show that graphene-based hyperbolic metamaterials with reversibly controlled tunability may be used in the next generation of nonlinear tunable and reversibly switchable devices operating in the mid-IR range.

Entities:  

Year:  2020        PMID: 32225912     DOI: 10.1364/OE.387065

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  4 in total

1.  Spatial Dispersion in Hypercrystal Distributed Feedback Lasing.

Authors:  Bartosz Janaszek; Paweł Szczepański
Journal:  Materials (Basel)       Date:  2022-05-12       Impact factor: 3.748

2.  Graphene-based tunable hyperbolic microcavity.

Authors:  Michał Dudek; Rafał Kowerdziej; Alessandro Pianelli; Janusz Parka
Journal:  Sci Rep       Date:  2021-01-08       Impact factor: 4.379

3.  Graphene based hyperbolic metamaterial for tunable mid-infrared biosensing.

Authors:  Sarah Cynthia; Rajib Ahmed; Sharnali Islam; Khaleda Ali; Mainul Hossain
Journal:  RSC Adv       Date:  2021-02-17       Impact factor: 3.361

4.  Active control of dielectric singularities in indium-tin-oxides hyperbolic metamaterials.

Authors:  Alessandro Pianelli; Vincenzo Caligiuri; Michał Dudek; Rafał Kowerdziej; Urszula Chodorow; Karol Sielezin; Antonio De Luca; Roberto Caputo; Janusz Parka
Journal:  Sci Rep       Date:  2022-10-10       Impact factor: 4.996

  4 in total

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