Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 40,
  • Issue 1,
  • pp. 113-120
  • (2022)

Al0.3InAsSb/Al0.7InAsSb Digital Alloy nBn Photodetectors

Not Accessible

Your library or personal account may give you access

Abstract

We report Al0.3InAsSb/Al0.7InAsSb digital alloy n-barrier-n (nBn) photodetectors that operate in the 2-µm wavelength window. The AlxIn1-xAsySb1-y digital alloy material system exhibits near-zero valence-band offset, which is beneficial for nBn photodetectors. At 300 K these Al0.3InAsSb/Al0.7InAsSb nBn photodetectors have achieved specific detectivities of 1.7 × 1010 and 3.0 × 1010 Jones under 2-µm and 1.8-µm illumination, respectively. The dark current density at −0.5 V bias decreases from 3.1 × 10−3 A/cm2 at 300 K to 1.6 × 10−10 A/cm2 at 120 K, where the dominant dark current component is tunneling. The area-dependence of key performance parameters show that for mesa diameter ≤ 250 µm, surface defects assume a dominant role in the total noise.

PDF Article
More Like This
Upside-down InAs/InAs1-xSbx type-II superlattice-based nBn mid-infrared photodetectors with an AlGaAsSb quaternary alloy barrier

Gongrong Deng, Xinbo Song, Mingguo Fan, Tingting Xiao, Zhibing Luo, Niu Chen, Wenyun Yang, and Yiyun Zhang
Opt. Express 28(9) 13616-13624 (2020)

High-performance infrared photodetectors based on InAs/InAsSb/AlAsSb superlattice for 3.5 µm cutoff wavelength spectra

Junkai Jiang, Guowei Wang, Donghai Wu, Yingqiang Xu, Faran Chang, Wenguang Zhou, Nong Li, Dongwei Jiang, Hongyue Hao, Suning Cui, Weiqiang Chen, Xueyue Xu, Haiqiao Ni, Ying Ding, and Zhi-Chuan Niu
Opt. Express 30(21) 38208-38215 (2022)

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.