Abstract

Epsilon-near-zero (ENZ) media are opening up exciting opportunities to observe exotic wave phenomena. In this work, we demonstrate that the ENZ medium comprising multiple dielectric photonic dopants would yield a comb-like dispersion of the effective permeability, with each magnetic resonance dominated by one specific dopant. Furthermore, at multiple frequencies of interest, the resonant supercouplings appearing or not can be controlled discretely via whether corresponding dopants are assigned or not. Importantly, the multiple dopants in the ENZ host at their magnetic resonances are demonstrated to be independent. Based on this platform, the concept of dispersion coding is proposed, where photonic dopants serve as “bits” to program the spectral response of the whole composite medium. As a proof of concept, a compact multi-doped ENZ cavity is fabricated and experimentally characterized, whose transmission spectrum is manifested as a multi-bit reconfigurable frequency comb. The dispersion coding is demonstrated to fuel a batch of innovative applications including dynamically tunable comb-like dispersion profiled filters, radio-frequency identification tags, etc.

The multiple photonic dopants contained in an epsilon-near-zero medium can serve as non-interacting resonators, and offer an opportunity for the independent control of electromagnetic waves at various frequencies.

Details

Title
Dispersion coding of ENZ media via multiple photonic dopants
Author
Zhou, Ziheng 1   VIAFID ORCID Logo  ; Li, Hao 1   VIAFID ORCID Logo  ; Sun, Wangyu 1 ; He, Yijing 1 ; Liberal, Iñigo 2   VIAFID ORCID Logo  ; Engheta, Nader 3   VIAFID ORCID Logo  ; Feng, Zhenghe 1 ; Li, Yue 1   VIAFID ORCID Logo 

 Tsinghua University, Department of Electronic Engineering, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178) 
 Public University of Navarre, Department of Electrical and Electronic Engineering, Pamplona, Spain (GRID:grid.410476.0) (ISNI:0000 0001 2174 6440) 
 University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, USA (GRID:grid.25879.31) (ISNI:0000 0004 1936 8972) 
Publication year
2022
Publication date
2022
Publisher
Springer Nature B.V.
e-ISSN
20477538
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2685223518
Copyright
© The Author(s) 2022. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.