University of Oulu

Alexander Grebenchukov et al 2020 J. Phys.: Conf. Ser. 1461 012062

Graphene-based optically tunable structure for terahertz polarization control

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Author: Grebenchukov, Alexander1,2; Zaitsev, Anton1; Masyukov, Maxim1;
Organizations: 1Terahertz Biomedicine Laboratory, ITMO University, St. Petersburg, Russia
2Optoelectronics and Measurements Techniques Laboratory, University of Oulu, Finland
3College of Engineering Mathematics and Physical Sciences, University of Exeter, United Kingdom
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 5.8 MB)
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Language: English
Published: IOP Publishing, 2020
Publish Date: 2020-11-11


We present a theoretical model of optically tunable graphene-based structure for polarization characteristics control of transmitted terahertz (THz) wave. The experimental verification was performed using a THz time-domain polarimetry setup. The tunability is achieved by applying an external optical pumping and magnetic field. The structure shows the possibility for dynamical control of ellipticity and azimuth angles of polarization state of THz radiation in a transmission mode. This study indicates a strong potential for using graphene-based structures for polarization sensitive applications such as THz wireless communications and biomedical research.

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Series: Journal of physics. Conference series
ISSN: 1742-6588
ISSN-E: 1742-6596
ISSN-L: 1742-6588
Article number: 012062
DOI: 10.1088/1742-6596/1461/1/012062
Host publication: 4th International Conference on Metamaterials and Nanophotonics, METANANO 2019
Conference: International Conference on Metamaterials and Nanophotonics
Type of Publication: A4 Article in conference proceedings
Field of Science: 216 Materials engineering
114 Physical sciences
Funding: Anton Zaitsev is grateful to the IEEE society for the MTT-S Undergraduate/Pre-graduate Scholarship for Fall 2018 that helped to develop the area of research associated with optically tunable THz wave Faraday rotation in graphene.
Copyright information: © The Authors 2020. Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.