Unique Detection Properties of Vertical Ge Avalanche Detectors With Ge Nanopillar Array

The photodetector in the near-infrared band is playing an increasingly important role in various industries such as optical communication, environmental detection, and biomedical imaging. In this article, we report on an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula> array of all germanium (Ge)-based vertical p-n photodetectors enhanced by Ge nanopillars. These nanopillars can significantly improve the light absorption efficiency in a broad spectral range and suppress the dark current; therefore, the broadband enhancement of responsivity and specific detectivity from 550 to 1800 nm is observed in the device. In particular, the maximum enhancement factor of responsivity and specific detectivity at 1550 nm is over 112.59% and 279.9%, respectively, under the −1-V bias voltage. When avalanche breakdown is reached under a bias over −9 V, the ultraresponsivity (161.67 A/W) and gain (53.83) are also obtained in the device with nanopillars. These results indicate that the detection ability of Ge avalanche detectors can be efficiently improved by photon-trapping nanostructures, which helps for the rapid development of group <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IV</i> photodetectors.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Electron Devices
Published
2024-09-16
DOI
https://doi.org/10.1109/ted.2024.3438679
Primary Topic
Silicon Nanostructures and Photoluminescence
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Unique Detection Properties of Vertical Ge Avalanche Detectors With Ge Nanopillar Array

Yuekai Hao, Yaqi Huang, Liming Wang, Qian Zhao et al.
IEEE Transactions on Electron Devices
Silicon Nanostructures and Photoluminescence
article

Unique Detection Properties of Vertical Ge Avalanche Detectors With Ge Nanopillar Array

Yuekai Hao, Yaqi Huang, Liming Wang, Qian Zhao, Jingnan Gao, Tian Miao, Huiyong Hu, Ning‐Ning Zhang, Han Zhao, Biwei Yang, Chu Wang
article en

Abstract

The photodetector in the near-infrared band is playing an increasingly important role in various industries such as optical communication, environmental detection, and biomedical imaging. In this article, we report on an <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$8\times 8$ </tex-math></inline-formula> array of all germanium (Ge)-based vertical p-n photodetectors enhanced by Ge nanopillars. These nanopillars can significantly improve the light absorption efficiency in a broad spectral range and suppress the dark current; therefore, the broadband enhancement of responsivity and specific detectivity from 550 to 1800 nm is observed in the device. In particular, the maximum enhancement factor of responsivity and specific detectivity at 1550 nm is over 112.59% and 279.9%, respectively, under the −1-V bias voltage. When avalanche breakdown is reached under a bias over −9 V, the ultraresponsivity (161.67 A/W) and gain (53.83) are also obtained in the device with nanopillars. These results indicate that the detection ability of Ge avalanche detectors can be efficiently improved by photon-trapping nanostructures, which helps for the rapid development of group <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IV</i> photodetectors.

IEEE Transactions on Electron DevicesVol. 71(10)
Xidian University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 90%
Silicon Nanostructures and Photoluminescence
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.