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Title: High-efficiency GeSn/Ge multiple-quantum-well photodetectors with photon-trapping microstructures operating at 2 µm
Authors: Zhou, Hao
Xu, Shengqiang
Lin, Yiding
Huang, Yi-Chiau
Son, Bongkwon
Chen, Qimiao
Guo, Xin
Lee, Kwang Hong
Goh, Simon Chun-Kiat
Gong, Xiao
Tan, Chuan Seng
Keywords: Engineering::Electrical and electronic engineering::Semiconductors
Issue Date: 2020
Source: Zhou, H., Xu, S., Lin, Y., Huang, Y.-C., Son, B., Chen, Q., . . . Tan, C. S. (2020). High-efficiency GeSn/Ge multiple-quantum-well photodetectors with photon-trapping microstructures operating at 2 µm. Optics Express, 28(7), 10280-10293. doi:10.1364/OE.389378
Journal: Optics Express
Abstract: We introduced photon-trapping microstructures into GeSn-based photodetectors for the first time, and achieved high-efficiency photo detection at 2 µm with a responsivity of 0.11 A/W. The demonstration was realized by a GeSn/Ge multiple-quantum-well (MQW) p-i-n photodiode on a GeOI architecture. Compared with the non-photon-trapping counterparts, the patterning and etching of photon-trapping microstructure can be processed in the same step with mesa structure at no additional cost. A four-fold enhancement of photo response was achieved at 2 µm. Although the incorporation of photo-trapping microstructure degrades the dark current density which increases from 31.5 to 45.2 mA/cm2 at −1 V, it benefits an improved 3-dB bandwidth of 2.7 GHz at bias voltage at −5 V. The optical performance of GeSn/Ge MQW photon-trapping photodetector manifests its great potential as a candidate for efficient 2 µm communication. Additionally, the underlying GeOI platform enables its feasibility of monolithic integration with other photonic components such as waveguide, modulator and (de)multiplexer for optoelectronic integrated circuits (OEICs) operating at 2 µm.
ISSN: 1094-4087
DOI: 10.1364/OE.389378
Rights: © 2020 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. Users may use, reuse, and build upon the article, or use the article for text or data mining, so long as such uses are for non-commercial purposes and appropriate attribution is maintained. All other rights are reserved.
Fulltext Permission: open
Fulltext Availability: With Fulltext
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