Presentation + Paper
10 October 2023 Development of voltage-tunable IR photodetector
Gyana R. Biswal, Michael Yakimov, Vadim Tokranov, Kimberly Sablon, Sergey Tulyakov, Vladimir Mitin, Serge Oktyabrsky
Author Affiliations +
Abstract
Artificial Intelligence-based object recognition in the infrared spectrum region is essential for autonomous applications and will likely require on-demand spectral tuning of an imaging sensor. Here we develop a quantum well infrared photodetector (QWIP) with an asymmetrically doped double quantum well (QW) array which provides the means to control its spectral sensitivity with an applied bias. The test structures were designed using a Schrödinger-Poisson solver to find the electronic transition energies for symmetric and antisymmetric double-QW states. The design, growth, and characterization of QWIPs have been performed aiming at the 5-8 μm and 8-12 μm detection wavelengths. The structures were grown by molecular beam epitaxy and contained 25 periods of coupled double GaAs QWs and AlxGa1-xAs barriers. One of the QWs in the pair was doped to provide potential asymmetry allowing for control of the electron population on the split levels by the bias applied to the QWIP. The QW structures were calibrated using TEM, and tested with blackbody radiation and FTIR down to 77 K. As a result, the ratio of the responsivities of the two bands at about 8 and 11 μm as well as 5 and 8 μm was controlled with up to an order of magnitude by the applied bias within +/- 4V.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gyana R. Biswal, Michael Yakimov, Vadim Tokranov, Kimberly Sablon, Sergey Tulyakov, Vladimir Mitin, and Serge Oktyabrsky "Development of voltage-tunable IR photodetector", Proc. SPIE 12687, Infrared Sensors, Devices, and Applications XIII, 126870B (10 October 2023); https://doi.org/10.1117/12.2677169
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KEYWORDS
Quantum well infrared photodetectors

Quantum wells

Gallium arsenide

Long wavelength infrared

Aluminum

Dark current

Design and modelling

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