Enabling low-drift flexible perovskite photodetectors by electrical modulation for wearable health monitoring and weak light imaging

Yingjie Tang, Peng Jin, Yan Wang, Dingwei Li, Yitong Chen, Peng Ran, Wei Fan, Kun Liang, Huihui Ren, Xuehui Xu, Rui Wang, Yang (Michael) Yang () and Bowen Zhu ()
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Yingjie Tang: Zhejiang University
Peng Jin: Zhejiang University
Yan Wang: Zhejiang University
Dingwei Li: Zhejiang University
Yitong Chen: Westlake University
Peng Ran: Zhejiang University
Wei Fan: Westlake University
Kun Liang: Zhejiang University
Huihui Ren: Westlake University
Xuehui Xu: Zhejiang University
Rui Wang: Westlake University
Yang (Michael) Yang: Zhejiang University
Bowen Zhu: Westlake University

Nature Communications, 2023, vol. 14, issue 1, 1-10

Abstract: Abstract Metal halide perovskites are promising for next-generation flexible photodetectors owing to their low-temperature solution processability, mechanical flexibility, and excellent photoelectric properties. However, the defects and notorious ion migration in polycrystalline metal halide perovskites often lead to high and unstable dark current, thus deteriorating their detection limit and long-term operations. Here, we propose an electrical field modulation strategy to significantly reduce the dark current of metal halide perovskites-based flexible photodetector more than 1000 times (from ~5 nA to ~5 pA). Meanwhile, ion migration in metal halide perovskites is effectively suppressed, and the metal halide perovskites-based flexible photodetector shows a long-term continuous operational stability (~8000 s) with low signal drift (~4.2 × 10−4 pA per second) and ultralow dark current drift (~1.3 × 10−5 pA per second). Benefitting from the electrical modulation strategy, a high signal-to-noise ratio wearable photoplethysmography sensor and an active-matrix photodetector array for weak light imaging are successfully demonstrated. This work offers a universal strategy to improve the performance of metal halide perovskites for wearable flexible photodetector and image sensor applications.

Date: 2023
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DOI: 10.1038/s41467-023-40711-1

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