Document Type
Article
Publication Date
11-23-2020
Department
Department of Engineering Physics
School or Division
Graduate School of Engineering and Management
Digital Object Identifier
Source Publication
Optics Express (e-ISSN 1094-4087)
Abstract
Multi-layered metamaterial structures show promise in a wide variety of optical applications such as superlenses, electromagnetic cloaking, tunable filters, sensors, and spatial light modulators. Optical transmission analysis of multilayer metallo-dielectric stacks with overall thickness less than the wavelength of light can be modeled using effective medium theory and the Berreman matrix method. For multilayer anisotropic stacks of arbitrary thickness, a rigorous 4 × 4 transfer matrix embodiment is typically used. In this work, a 2 × 2 anisotropic transfer matrix method is developed to analyze optical propagation through multilayer uniaxial stacks of arbitrary thicknesses. Optical transmission of a multilayer silver–zinc oxide stack deposited on a quartz substrate is modeled with this 2 × 2 anisotropic transfer matrix method and reconciled with experimental observations. Results indicate that this numerical approach is applicable to in situ assessment of the complex refractive indices of constituent metal and dielectric layers. Additionally, the anisotropic 2 × 2 transfer matrix method enables the possibility of modeling the transmission of the same metallo-dielectric structure deposited on an electro-optic, uniaxial substrate. Simulation results predict that adjusting the bias field across the substrate results in an electrically tunable transmission filter.
Recommended Citation
Hammid AL-Ghezi, Rudra Gnawali, Partha P. Banerjee, Lirong Sun, Jonathan Slagle, and Dean Evans, "2 × 2 anisotropic transfer matrix approach for optical propagation in uniaxial transmission filter structures," Opt. Express 28, 35761-35783 (2020)
Comments
© 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement, and shared on AFIT Scholar in accordance with OSA's open access policies. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
Sourced from the version of record as cited below and linked in the DOI.
Author Jonathan E. Slagle was in a PhD program at AFIT at the time of publication. (PhD March 2021, AFIT-ENP-DS-21-M-327)