Gain–Bandwidth Product Optimization of Short-Wavelength Infrared HgCdTe e-Avalanche Photodiodes

The short-wave infrared (SWIR) HgCdTe avalanche photodiodes (APDs) have demonstrated promising applications in low-flux and high-speed optical communication systems at high temperatures. However, the big gap between the theoretical highest gain-bandwidth product (GBP) and the reported performances indicates that there is still room for device optimization. In this work, numerical models were established for the 3-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>m cutoff wavelength SWIR HgCdTe electron-initiated APDs (e-APDs) working at 140 K. The absorption and multiplication layer thickness dependence of the impulse response and multiplication gain has been characterized. Our results show that a thinner absorption and multiplication layer will enhance the bandwidth performance, and a mesa structure device can achieve a higher bandwidth compared to a planar one. The tradeoff between the bandwidth and multiplication gain was analyzed to optimize the GBP of the device. The structural optimization increases the device bandwidth from 300 to 750 MHz and achieved a 21-GHz GBP at 16 V bias. Specially, the high GBP and ability to maintain a low excess noise factor make HgCdTe APDs extremely valuable for high-quality signal transmission applications.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2025-02-04
DOI
https://doi.org/10.1109/ted.2025.3534747
Citations
2
Primary Topic
Advanced Semiconductor Detectors and Materials
Type
article
Field-Weighted Citation Impact
1.46

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Gain–Bandwidth Product Optimization of Short-Wavelength Infrared HgCdTe e-Avalanche Photodiodes

Jie Chen, Weida Hu, Huijun Guo, Peng Wang et al.
2 citations
IEEE Transactions on Electron Devices
Advanced Semiconductor Detectors and Materials
1.46
article

Gain–Bandwidth Product Optimization of Short-Wavelength Infrared HgCdTe e-Avalanche Photodiodes

Jie Chen, Weida Hu, Huijun Guo, Peng Wang, Qing Li, Lu Chen, Wenrui Wei, Zhuangzhuang Xu
article en
2 citations

Abstract

The short-wave infrared (SWIR) HgCdTe avalanche photodiodes (APDs) have demonstrated promising applications in low-flux and high-speed optical communication systems at high temperatures. However, the big gap between the theoretical highest gain-bandwidth product (GBP) and the reported performances indicates that there is still room for device optimization. In this work, numerical models were established for the 3-<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mu $ </tex-math></inline-formula>m cutoff wavelength SWIR HgCdTe electron-initiated APDs (e-APDs) working at 140 K. The absorption and multiplication layer thickness dependence of the impulse response and multiplication gain has been characterized. Our results show that a thinner absorption and multiplication layer will enhance the bandwidth performance, and a mesa structure device can achieve a higher bandwidth compared to a planar one. The tradeoff between the bandwidth and multiplication gain was analyzed to optimize the GBP of the device. The structural optimization increases the device bandwidth from 300 to 750 MHz and achieved a 21-GHz GBP at 16 V bias. Specially, the high GBP and ability to maintain a low excess noise factor make HgCdTe APDs extremely valuable for high-quality signal transmission applications.

IEEE Transactions on Electron DevicesVol. 72(3)
Chinese Academy of Sciences (CN), Shanghai Institute of Technical Physics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 20%
Advanced Semiconductor Detectors and Materials
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.