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Open Access

Self-powered dual-heterojunction ZnO/Ag2Se/Si photodetector with synergistic band alignment for broadband detection from ultraviolet to near-infrared

Wenjing Zhang, Weipeng Shi, Rui Guo, Gailing Tian, Yi Chen, Yonghua Wang, Danfeng Cui, Jinglong Wen, Dan Liu( ), Chenyang Xue
State Key Laboratory of Extreme Environment Optoelectronic Dynamic Measurement Technology and Instrument, North University of China, Taiyuan, 030051, China
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Abstract

Broadband photodetectors are critical for multispectral imaging, environmental monitoring, and optical communication. Zinc oxide (ZnO), known for its high electron mobility and excellent stability, is frequently integrated into heterojunctions to achieve broadband photodetection. Nevertheless, such ZnO-based heterostructures commonly encounter performance constraints, including interfacial defect states, lattice mismatch, and impeded carrier transport, which collectively degrade the response speed and spectral efficiency. This work demonstrates a self-powered photodetector based on a monolithic ZnO/Ag2Se/Si dual-heterojunction fabricated via magnetron sputtering. The complementary band structures and synergistic built-in electric fields at the dual heterointerfaces facilitate efficient carrier separation and collection, enabling a broad detection spectrum from 220 nm to 1550 nm without external power. The device exhibits a responsivity of 1.71 mA/W at 750 nm with a response time of 16.69/17.34 ms (rise/fall). Given its high sensitivity in the near-infrared region, the photodetector successfully decodes 950 nm optical signals into ASCII text, confirming its potential for optical communication. This work provides a feasible strategy for high-performance, self-powered broadband photodetection through rational heterojunction design.

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Journal of Materiomics

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Cite this article:
Zhang W, Shi W, Guo R, et al. Self-powered dual-heterojunction ZnO/Ag2Se/Si photodetector with synergistic band alignment for broadband detection from ultraviolet to near-infrared. Journal of Materiomics, 2026, 12(5). https://doi.org/10.1016/j.jmat.2026.101249

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Received: 14 December 2025
Revised: 20 February 2026
Accepted: 25 February 2026
Published: 01 May 2026
© 2026 The Authors.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).