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Ultra‐Wideband Integrated Graphene‐Based Absorbers for Terahertz Waveguide Systems
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Micro and Nanosystems. TeraSi AB Stockholm 139 33 Sweden.ORCID iD: 0000-0002-8514-6863
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Micro and Nanosystems.ORCID iD: 0000-0002-7739-3178
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Micro and Nanosystems.ORCID iD: 0000-0003-0368-1668
Tallinn University of Technology.
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2022 (English)In: Advanced Electronic Materials, E-ISSN 2199-160X, Vol. 8, no 9, p. 2200106-2200106Article in journal (Refereed) Published
Abstract [en]

This article presents novel graphene-based absorber materials which can be directly integrated in terahertz waveguide systems. A simple, low-cost integration method is developed, allowing graphene augmented inorganic nanofibers to be embedded inside a metallic waveguide. In contrast to existing absorbers, the ability to embed such materials in a metallic waveguide allows them to be integrated into complete terahertz systems for large-scale applications. The electromagnetic properties of such materials are then examined using standard network analysis techniques. A wideband measurement setup is developed to enable measurement of a single sample from 67 to 500 GHz, eliminating the need to fabricate multiple samples. The porosity of the integrated material leads to excellent electromagnetic performance across a wide range of frequencies. The samples are found to have a reflection coefficient less than −10 dB for frequencies above200 GHz, while their attenuation per unit length exceeds 35 dB mm−1. The low reflectivity of the material allows it to be used in systems applications where undesired reflections must be avoided. The electromagnetic shielding effectiveness of the material is assessed, with a total effectiveness of 20–45 dB observed for 0.84 mm thick samples.

Place, publisher, year, edition, pages
Wiley , 2022. Vol. 8, no 9, p. 2200106-2200106
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-320784DOI: 10.1002/aelm.202200106ISI: 000779186500001Scopus ID: 2-s2.0-85127564276OAI: oai:DiVA.org:kth-320784DiVA, id: diva2:1707539
Funder
Swedish Research Council, MyfabEU, Horizon 2020, 862788
Note

QC 20221101

Available from: 2022-10-31 Created: 2022-10-31 Last updated: 2023-09-21Bibliographically approved

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Campion, JamesXenidis, NikolaosSmirnov, SergueiOberhammer, JoachimLioubtchenko, Dmitri

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