Optoelectronically Active GaAs/GeSn-MQW/Ge Heterojunctions Created via Semiconductor Grafting
Jie Zhou, Haibo Wang, Yifu Guo, Alireza Abrand, Yiran Li, Yang Liu, Jiarui Gong, Po Rei Huang, Jianping Shen, Shengqiang Xu, Daniel Vincent, Samuel Haessly, Yi Lu, Munho Kim, Shui-Qing Yu, Parsian K. Mohseni, Guo-En Chang, Zetian Mi, Kai Sun, Xiao Gong, Mikhail A Kats

TL;DR
This paper demonstrates a novel lattice-mismatched GaAs/GeSn-MQW/Ge heterojunction photodiode with record-low dark current and enhanced spectral response, enabled by advanced semiconductor grafting technology, expanding possibilities beyond traditional lattice-matched heterostructures.
Contribution
It introduces a new approach to create lattice-mismatched heterojunctions with superior performance using semiconductor grafting, surpassing limitations of conventional epitaxy.
Findings
Record-low dark current density of 1.22E-7 A/cm^2
Extended spectral response from 0.5 to 2 micrometers
Significant improvements in photoresponsivity in VIS and NIR ranges
Abstract
Traditionally, advancements in semiconductor devices have been driven by lattice-matched heterojunctions with tailored band alignments through heteroepitaxy techniques. However, there is significant interest in expanding the capabilities of heterojunction devices, in particular utilizing extreme lattice mismatches. We demonstrate the manipulation of device behaviors and performance enhancement achievable through a lattice-mismatched, single-crystalline GaAs/GeSn-multi-quantum well (MQW)/Ge n-i-p heterojunction by employing advanced semiconductor grafting technology. With engineered band alignment and optical field distribution, the grafted GaAs/GeSn-MQW/Ge n-i-p photodiode achieved outstanding performance: a record-low dark current density of 1.22E10^-7 A/cm^2, an extended spectral response from ~0.5 to 2 um, and improved photoresponsivity of RVIS of 0.85 A/W and RNIR of 0.40 A/W at 520…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPhotonic and Optical Devices · Mechanical and Optical Resonators · Neural Networks and Reservoir Computing
