Plasmonic-Layered InAs/InGaAs Quantum-Dots-in-a-Well Pixel Detector for Spectral-Shaping and Photocurrent Enhancement

Abstract

The algorithmic spectrometry as an alternative to traditional approaches has the potential to become the next generation of infrared (IR) spectral sensing technology, which is free of physical optical filters, and only a very small number of data are required from the IR detector. A key requirement is that the detector spectral responses must be engineered to create an optimal basis that efficiently synthesizes spectral information. Light manipulation through metal perforated with a two-dimensional square array of subwavelength holes provides remarkable opportunities to harness the detector response in a way that is incorporated into the detector. Instead of previous experimental efforts mainly focusing on the change over the resonance wavelength by tuning the geometrical parameters of the plasmonic layer, we experimentally and numerically demonstrate the capability for the control over the shape of bias-tunable response spectra using a fixed plasmonic structure as well as the detector sensitivity improvement, which is enabled by the anisotropic dielectric constants of the quantum dots-in-a-well (DWELL) absorber and the presence of electric field along the growth direction. Our work will pave the way for the development of an intelligent IR detector, which is capable of direct viewing of spectral information without utilizing any intervening the spectral filters.

Document Details

Document Type
Pub Defense Publication
Publication Date
Sep 13, 2020
Source ID
10.3390/nano10091827

Entities

People

  • Augustine Urbas
  • Deok-kee Kim
  • Eun Kyu Kim
  • Jehwan Hwang
  • Jiyeon Jeon
  • Jun Oh Kim
  • Sang Jun Lee
  • Yeongho Kim
  • Zahyun Ku

Organizations

  • Air Force Office of Scientific Research
  • Korea Research Institute of Standards and Science
  • National Research Foundation of Korea

Tags

Fields of Study

  • Physics

Readers

  • Image Processing and Computer Vision.
  • Quantum Dot Semiconductor Device Photonics and Graphene Optoelectronic Materials and THz Physics.
  • Systems Analysis and Design

Technology Areas

  • Quantum Computing