Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Tunable terahertz absorber based on transparent and flexible metamaterial

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate a tunable terahertz (THz) absorber based on an indium tin oxide (ITO) metamaterial. The upper ITO cross-shaped metasurface with different arm lengths is fabricated by direct femtosecond laser etching. The thickness of the middle dielectric layer is only 60 μm, which makes the absorber very transparent and flexible. The experimental results show that the THz resonant peaks have a high performance near 1 THz. By setting spacers of different thicknesses between the middle layer and the ITO mirror, a new type of tunable THz absorber is proposed. Its absorption peak frequency can be continuously adjusted from 0.92 to 1.04 THz between TE and TM polarization. This transparent THz metamaterial absorber is expected to be widely used in THz imaging, sensing, and biological detection.

© 2020 Chinese Laser Press

PDF Article
More Like This
Graphene-assisted high-efficiency liquid crystal tunable terahertz metamaterial absorber

Lei Wang, Shijun Ge, Wei Hu, Makoto Nakajima, and Yanqing Lu
Opt. Express 25(20) 23873-23879 (2017)

Thermally tunable metamaterial absorber based on strontium titanate in the terahertz regime

Xin Huang, Wei He, Fan Yang, Jia Ran, Qi Yang, and Shengyi Xie
Opt. Mater. Express 9(3) 1377-1385 (2019)

Optical-transparent flexible broadband absorbers based on the ITO-PET-ITO structure

Senfeng Lai, Yanghui Wu, Junjie Wang, Wen Wu, and Wenhua Gu
Opt. Mater. Express 8(6) 1585-1592 (2018)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.