Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 39,
  • Issue 5,
  • pp. 1489-1496
  • (2021)

Long-Wave Infrared Sub-Monolayer Quantum dot Quantum Cascade Photodetector

Not Accessible

Your library or personal account may give you access

Abstract

In this article, a long-wave infrared InAs/GaAs sub-monolayer quantum dot quantum cascade photodetector (SML QD-QCD) grown on GaAs substrate is demonstrated. Temperature- and excitation-dependent photoluminescence measurements are used to study the optical properties of the quantum dot active region, which reveal energetically hybrid ground states between the InAs quantum dot and InGaAs quantum well due to the possible inter-mixing of In and Ga atoms during growth process. The device covers a spectral region from 6.5 to 9 μm. At 77 K, a peak responsivity of 7.5 mA/W is found at 8.3 μm (0 V) and a zero-bias differential-resistance-area (R0A) product of 9008 Ω·cm2 is obtained. The white noise-limited detectivity is 6.5 × 109 cm·Hz1/2/W. These results encourage the SML QD-QCD as a strong competitor for long-wave infrared imaging applications that require normal incidence and low power dissipation.

PDF Article
More Like This
Effect of barrier on the performance of sub-monolayer quantum dot infrared photodetectors

Jun Oh Kim, Zahyun Ku, Alireza Kazemi, Augustine Urbas, Sang-Woo Kang, Sam Kyu Noh, Sang Jun Lee, and Sanjay Krishna
Opt. Mater. Express 4(2) 198-204 (2014)

Voltage-tunable dual-band quantum dot infrared photodetectors for temperature sensing

Hong-Shi Ling, Shiang-Yu Wang, Wei-Cheng Hsu, and Chien-Ping Lee
Opt. Express 20(10) 10484-10489 (2012)

Mid-wave/long-wave dual-color infrared quantum cascade detector enhanced by antenna-coupled microcavity

Yixuan Zhu, Shenqiang Zhai, Junqi Liu, Kun Li, Ke Yang, Shuman Liu, Jinchuan Zhang, Ning Zhuo, Lijun Wang, and Fengqi Liu
Opt. Express 29(23) 37327-37335 (2021)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.