Key parameters and performance optimization strategies for graphene/MoS2 heterostructure photodetector devices

Qi-Hang Zhang; Chang-Bing Nie; De-Long Li; Fei-Ying Sun; Yu-Peng Zhang

doi:10.1117/12.2691185

6 November 2023 Key parameters and performance optimization strategies for graphene/MoS₂ heterostructure photodetector devices

Qi-Hang Zhang, Chang-Bing Nie, De-Long Li, Fei-Ying Sun, Yu-Peng Zhang

Author Affiliations +

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 129212V (2023) https://doi.org/10.1117/12.2691185
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

The device performance determines the application scenario of photodetectors, and how to design the photodetector is thus the key to improve the performance. In this paper, the effect of channel size parameters on the performances of the graphene/MoS₂ heterojunction photodetector is investigated based on the photogating effect. The experimental results show that reducing the channel size between the electrodes or increasing the contact size between the material and electrode can increase the photocurrent and reduce the response time. Compared to normal devices, this optimized device has a photocurrent increase of nearly five times and a response time reduction of nearly four times. This work provides a new idea for the design and fabrication of high-performance optoelectronic device.

Citation Download Citation

Qi-Hang Zhang, Chang-Bing Nie, De-Long Li, Fei-Ying Sun, and Yu-Peng Zhang "Key parameters and performance optimization strategies for graphene/MoS₂ heterostructure photodetector devices", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 129212V (6 November 2023); https://doi.org/10.1117/12.2691185

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