High Quality Tunable Graphene Plasmonic Metamaterials

Abstract

The project demonstrated the first large-scale, fully tunable integrated photonic circuits. The resulting ultra-dense, fully controllable array of free space optical signals has potential applications in fields such as LiDAR, beam forming and steering, optical interconnects, microscopy, and neural networks. The development of an optically controlled SLM with high-speed performance and high pixel density offers new opportunities for optical wavefront shaping, enabling breakthroughs in fields such as biomedical imaging, telecommunications, and quantum information processing. We developed a nanopatterned electrolyte gating technique that creates high carrier density variations at the nanometer scale, using a resist mask and cross-linked poly(methyl methacrylate). We demonstrated the technique by fabricating a compact mid-infrared graphene thermopile that can pave the way for more compact high-speed thermal detectors and cameras.

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Document Details

Document Type
Technical Report
Publication Date
Mar 15, 2023
Accession Number
AD1210121

Entities

People

  • Dirk Englund

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics

DTIC Thesaurus Topics

  • Ceramic Materials
  • Detection
  • Information Processing
  • Information Science
  • Machine Learning
  • Materials Laboratories
  • Materials Processing
  • Materials Science
  • Materials Testing
  • Metamaterial Absorbers
  • Metamaterials
  • Microscopy
  • Optical Properties
  • Optics
  • Plasmonic Metamaterials
  • Quantum Computing
  • Quantum Information
  • Quantum Information Science
  • Two Dimensional

Fields of Study

  • Materials science
  • Physics

Readers

  • Image Processing and Computer Vision.
  • Polymer Science and Technology
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.

Technology Areas

  • AI & ML
  • Biotechnology
  • Microelectronics
  • Microelectronics - Graphene
  • Quantum Computing
  • Space