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Multiple exciton generation boosting over 100% quantum efficiency photoelectrochemical photodetection

Junjun Xue, Xu Wang, Guanyu Xu, Xinya Tao, Tongdao Pan, Zhouyu Chen, Qing Cai, Pengfei Shao (), Guofeng Yang (), Zengli Huang, Ting Zhi, Ke Wang, Bin Liu, Dunjun Chen (), Rong Zhang and Jin Wang ()
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Junjun Xue: Nanjing University of Posts and Telecommunications
Xu Wang: Nanjing University of Posts and Telecommunications
Guanyu Xu: Nanjing University of Posts and Telecommunications
Xinya Tao: Nanjing University of Posts and Telecommunications
Tongdao Pan: Nanjing University of Posts and Telecommunications
Zhouyu Chen: Nanjing University of Posts and Telecommunications
Qing Cai: Nanjing University
Pengfei Shao: Nanjing University
Guofeng Yang: Jiangnan University
Zengli Huang: Suzhou Laboratory
Ting Zhi: Nanjing University of Posts and Telecommunications
Ke Wang: Nanjing University
Bin Liu: Nanjing University
Dunjun Chen: Nanjing University
Rong Zhang: Nanjing University
Jin Wang: Nanjing University of Posts and Telecommunications

Nature Communications, 2025, vol. 16, issue 1, 1-12

Abstract: Abstract The self-powered photoelectrochemical components themselves featured advancements in operating independently without external supply. Ultimately, due to lack of assistance from the external bias, the photoelectrochemical response is commonly restricted by the deficient photo-quantum efficiency for the absence of carrier multiplication. This work demonstrates a self-powered photoelectrochemical photodetector based on CuOx/AlGaN nanowires with staggered band structure and enhanced built-in potential for efficient exciton extraction. The generated multiple excitons within reach-through CuOx layer could be speedily separated before Auger recombination. This yields a 131.5% external quantum efficiency and 270.6 mA W−1 responsivity at 255 nm. The work confirms the role of multiple exciton generation in photoelectrochemical systems, offering a solution on paving path of advance for self-powered optoelectronics and weak-light UV imaging applications.

Date: 2025
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DOI: 10.1038/s41467-025-60420-1

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