Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 15,
  • Issue 5,
  • pp. 051603-
  • (2017)

Enhanced spatial terahertz modulation based on graphene metamaterial

Not Accessible

Your library or personal account may give you access

Abstract

The plasmonic mode in graphene metamaterial provides a new approach to manipulate terahertz (THz) waves. Graphene-based split ring resonator (SRR) metamaterial is proposed with the capacity for modulating transmitted THz waves under normal and oblique incidence. Here, we theoretically demonstrate that the resonant strength of the dipolar mode can be significantly enhanced by enlarging the arm-width of the SRR and by stacking graphene layers. The principal mechanism of light–matter interaction in graphene metamaterial provides a dynamical modulation based on the controllable graphene Fermi level. This graphene-based design paves the way for a myriad of important THz applications, such as optical modulators, absorbers, polarizers, etc.

© 2017 Chinese Laser Press

PDF Article
More Like This
Graphene based tunable metamaterial absorber and polarization modulation in terahertz frequency

Yin Zhang, Yijun Feng, Bo Zhu, Junming Zhao, and Tian Jiang
Opt. Express 22(19) 22743-22752 (2014)

Towards loss compensated and lasing terahertz metamaterials based on optically pumped graphene

P. Weis, J. L. Garcia-Pomar, and M. Rahm
Opt. Express 22(7) 8473-8489 (2014)

Intensity-modulating graphene metamaterial for multiband terahertz absorption

Run-Mei Gao, Zong-Cheng Xu, Chun-Feng Ding, and Jian-Quan Yao
Appl. Opt. 55(8) 1929-1933 (2016)

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.