Broadband Asymmetric Transmission of Linearly Polarized Mid‐Infrared Light Based on Quasi‐3D Metamaterials

Abstract

Metamaterials consisting of subwavelength resonators offer an exciting opportunity for realizing asymmetric transmission (AT) of linearly polarized light. However, to date, only moderate/narrow‐band AT responses have been obtained in metadevices based on stacked planar nanostructures. Here, leveraging a combination of a genetic algorithm (GA) based optimization method and a membrane projection lithography (MPL) fabrication approach, a quasi‐3D metamaterial for broadband AT of linearly polarized mid‐infrared light is demonstrated. Facilitated by the customized GA, an efficient exploration of 3D plasmonic meta‐atoms with broken mirror symmetry in the light propagation direction allows the satisfaction of the rigorous conditions for AT of linearly polarized waves over a broad wavelength range. Confirmed by surface current analysis, the observed AT behavior is attributed to the resonant coupling between the plasmonic nanostructures located on the two orthogonal walls of the MPL cavities. Incorporating an advanced inverse‐design method and a state‐of‐art fabrication technique, the methodology used in the present study provides a promising route for exploiting 3D metamaterials with sophisticated functionalities via effectively exploring the high‐dimensional parametric space offered by true 3D meta‐atoms.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 07, 2022
Source ID
10.1002/adfm.202109659

Entities

People

  • David Bruce Burckel
  • Douglas H. Werner
  • Eric B. Whiting
  • Katherine M. Musick
  • Lei Kang
  • Michael B. Sinclair
  • Michael D. Goldflam
  • Sawyer D. Campbell

Organizations

  • Center for Integrated Nanotechnologies
  • Defense Advanced Research Projects Agency
  • Pennsylvania State University
  • Sandia National Laboratories

Tags

Fields of Study

  • Physics

Readers

  • Neural Network Machine Learning.
  • Optical Physics and Photonics.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

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  • AI & ML
  • AI & ML - Machine Learning Algorithms
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