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Research Article

Ultrasensitive broadband position-sensitive detector based on graphitic carbon nitride

Xuexia ChenXun Yang( )Qing LouYongzhi TianZhiyu LiuChaofan LvYancheng ChenLin Dong( )Chong-Xin Shan( )
Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
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Graphical Abstract

The ultrasensitive broadband graphitic carbon nitride (g-CN)-based position-sensitive detector (PSD) is reported for the first time. Applications of trajectory tracking and acoustic detection are demonstrated.

Abstract

As a typical two-dimensional material, graphitic carbon nitride (g-CN) has attracted great interest because of its distinctive electronic, optical, and catalytic properties. However, the absence of a feasible route toward large-area and high-quality films hinders its development in optoelectronics. Herein, high-quality g-CN films have been grown on Si substrate via a vapor-phase transport-assisted condensation method. The g-CN/Si heterojunction shows an obvious response to ultraviolet–visible-near infrared photons with a responsivity of 133 A·W−1, which is two orders of magnitude higher than the best value ever reported for g-CN photodetectors. A position-sensitive detector (PSD) has been developed using the lateral photovoltaic effect of the g-CN/Si heterojunction. The PSD shows a wide response spectrum ranging from 300 to 1,100 nm, and a position sensitivity and rise/decay time of 395 mV·mm−1 and 3.1/50 μs, respectively. Moreover, the application of the g-CN/Si heterojunction photodetector in trajectory tracking and acoustic detection has been realized for the first time. This work unveils the potential of g-CN for large-area photodetectors, and prospects for their applications in trajectory tracking and acoustic detection.

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Nano Research
Pages 1277-1285
Cite this article:
Chen X, Yang X, Lou Q, et al. Ultrasensitive broadband position-sensitive detector based on graphitic carbon nitride. Nano Research, 2023, 16(1): 1277-1285. https://doi.org/10.1007/s12274-022-4780-x
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Received: 25 May 2022
Revised: 08 July 2022
Accepted: 15 July 2022
Published: 31 August 2022
© Tsinghua University Press 2022
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