Bioinspired ZnO/WS <sub>2</sub> Heterostructure Photodetectors with Voltage‐Driven Spectral Discrimination Enabling Anti‐Interference Dual‐Band Imaging and Optical Computing

Abstract Biological visual systems, such as the ultraviolet–visible dual‐spectral discrimination capability of honeybee compound eyes, surpass conventional human vision in environmental perception by synergistically decoding multispectral information. Inspired by this natural design, we present a bioinspired ZnO/WS 2 heterostructure photodetector featuring voltage‐tunable spectral selectivity. By modulating the bias polarity, the device dynamically switches between ultraviolet (365 nm) and visible (405–635 nm) detection modes through engineering band alignment. Under 365/405 nm light, the device delivers an optimal responsivity of 2.6/3.1 A W −1 , a detectivity of 3.4 × 10 12 /3.7 × 10 12 Jones, a noise equivalent power of 4.2/3.8 fW Hz −1/2 , alongside rapid response kinetics (21/160 µs rise and 19/120 µs decay times). This spectral programmability enables interference‐free dual‐band imaging: visible imaging under positive bias excludes ultraviolet noise, while negative bias operation achieves pure ultraviolet imaging immune to visible interference. Furthermore, a conceptual optoelectronic NOR logic gate is demonstrated through wavelength–bias co‐control photocurrent signals. The bio‐mimetic spectral adaptability overcomes the inherent spectral crosstalk limitations of conventional broadband detectors, opening avenues for establishing adaptive multispectral perception systems merging biological vision principles with photonic computing.

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Publication Details

Journal
Advanced Optical Materials
Published
2025-09-18
DOI
https://doi.org/10.1002/adom.202502206
Citations
1
Primary Topic
2D Materials and Applications
Type
article
Field-Weighted Citation Impact
0.52
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article

Bioinspired ZnO/WS 2 Heterostructure Photodetectors with Voltage‐Driven Spectral Discrimination Enabling Anti‐Interference Dual‐Band Imaging and Optical Computing

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1 citations
Advanced Optical Materials
2D Materials and Applications
0.52
article

Bioinspired ZnO/WS 2 Heterostructure Photodetectors with Voltage‐Driven Spectral Discrimination Enabling Anti‐Interference Dual‐Band Imaging and Optical Computing

Jiandong Yao, Le Huang, Dongxiang Luo, Zhaoqiang Zheng, Huilei Quan, Ying Liang, Jingbo Li, Yuhua Yang, Yu Zhao, Zhanxiong Qiu, Xiqiang Chen
article en
1 citations

Abstract

Abstract Biological visual systems, such as the ultraviolet–visible dual‐spectral discrimination capability of honeybee compound eyes, surpass conventional human vision in environmental perception by synergistically decoding multispectral information. Inspired by this natural design, we present a bioinspired ZnO/WS 2 heterostructure photodetector featuring voltage‐tunable spectral selectivity. By modulating the bias polarity, the device dynamically switches between ultraviolet (365 nm) and visible (405–635 nm) detection modes through engineering band alignment. Under 365/405 nm light, the device delivers an optimal responsivity of 2.6/3.1 A W −1 , a detectivity of 3.4 × 10 12 /3.7 × 10 12 Jones, a noise equivalent power of 4.2/3.8 fW Hz −1/2 , alongside rapid response kinetics (21/160 µs rise and 19/120 µs decay times). This spectral programmability enables interference‐free dual‐band imaging: visible imaging under positive bias excludes ultraviolet noise, while negative bias operation achieves pure ultraviolet imaging immune to visible interference. Furthermore, a conceptual optoelectronic NOR logic gate is demonstrated through wavelength–bias co‐control photocurrent signals. The bio‐mimetic spectral adaptability overcomes the inherent spectral crosstalk limitations of conventional broadband detectors, opening avenues for establishing adaptive multispectral perception systems merging biological vision principles with photonic computing.

Advanced Optical MaterialsVol. 13(31)
Guangdong University of Technology (CN), Sun Yat-sen University (CN), Guangzhou University (CN), Guangzhou Maritime College (CN), Zhejiang University (CN)
Openalex Percentile: Top 33%
2D Materials and Applications
0.52
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