A Flexible Dual-Mode Photodetector for Human–Machine Collaborative IR Imaging

Photothermoelectric (PTE) photodetectors with self-powered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields. However, traditional PTE photodetectors lack of mechanical flexibility and cannot operate independently without the test instrument. Herein, we present a flexible PTE photodetector capable of dual-mode output, combining electrical and optical signal generation for enhanced functionality. Using solution processing, high-quality MXene thin films are assembled on asymmetric electrodes as the photosensitive layer. The geometrically asymmetric electrode design significantly enhances the responsivity, achieving 0.33 mA W<sup>-1</sup> under infrared illumination, twice that of the symmetrical configuration. This improvement stems from optimized photothermal conversion and an expanded temperature gradient. The PTE device maintains stable performance after 300 bending cycles, demonstrating excellent flexibility. A new energy conversion pathway has been established by coupling the photothermal conversion of MXene with thermochromic composite materials, leading to a real-time visualization of invisible infrared radiation. Leveraging this functionality, we demonstrate the first human-machine collaborative infrared imaging system, wherein the dual-mode photodetector arrays synchronously generate human-readable pattern and machine-readable pattern. Our study not only provides a new solution for functional integration of flexible photodetectors, but also sets a new benchmark for human-machine collaborative optoelectronics.

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Publication Details

Journal
Nano-Micro Letters
Published
2025-04-24
DOI
https://doi.org/10.1007/s40820-025-01758-5
Citations
13
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
9.50

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article

A Flexible Dual-Mode Photodetector for Human–Machine Collaborative IR Imaging

He Tian, Ainong Chen, Huajing Fang, Daixuan Wu et al.
13 citations
Nano-Micro Letters
Perovskite Materials and Applications
9.50
article

A Flexible Dual-Mode Photodetector for Human–Machine Collaborative IR Imaging

He Tian, Ainong Chen, Huajing Fang, Daixuan Wu, Shaojie Liu, Liyan Zhang, Kai Jing, Xinxing Xie
article en
13 citations

Abstract

Photothermoelectric (PTE) photodetectors with self-powered and uncooled advantages have attracted much interest due to the wide application prospects in the military and civilian fields. However, traditional PTE photodetectors lack of mechanical flexibility and cannot operate independently without the test instrument. Herein, we present a flexible PTE photodetector capable of dual-mode output, combining electrical and optical signal generation for enhanced functionality. Using solution processing, high-quality MXene thin films are assembled on asymmetric electrodes as the photosensitive layer. The geometrically asymmetric electrode design significantly enhances the responsivity, achieving 0.33 mA W<sup>-1</sup> under infrared illumination, twice that of the symmetrical configuration. This improvement stems from optimized photothermal conversion and an expanded temperature gradient. The PTE device maintains stable performance after 300 bending cycles, demonstrating excellent flexibility. A new energy conversion pathway has been established by coupling the photothermal conversion of MXene with thermochromic composite materials, leading to a real-time visualization of invisible infrared radiation. Leveraging this functionality, we demonstrate the first human-machine collaborative infrared imaging system, wherein the dual-mode photodetector arrays synchronously generate human-readable pattern and machine-readable pattern. Our study not only provides a new solution for functional integration of flexible photodetectors, but also sets a new benchmark for human-machine collaborative optoelectronics.

Nano-Micro LettersVol. 17(1)
Xi'an Jiaotong University (CN), Tsinghua University (CN)
Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 2%
Perovskite Materials and Applications
9.50
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