High-performance solar-blind optoelectronic synaptic device based on N-doped Ga2O3 nanowire network for neuromorphic computing

Optoelectronic synapses use optical signals as modulation inputs and offer advantages such as low-power consumption, non-contact operation, and high parallelism. However, devices operating in the visible and near-infrared regions are susceptible to ambient light interference, leading to signal distortion and high background noise. In contrast, optoelectronic synaptic devices working in a solar-blind region are impervious to external ambient interference, enabling them to achieve stable and high-fidelity signal transmission effectively. Ga2O3 as a wide bandgap with inherent oxygen-vacancy defects has strong deep-ultraviolet light sensitivity, making it an ideal material for solar-blind optoelectronic synapses. Here, high-performance solar-blind synaptic devices were prepared using nanowire network interfacial effects and nitrogen doping to modulate oxygen vacancies. Notably, the paired-pulse facilitation index increased by approximately 1.2 fold after doping. In handwritten digit recognition experiments, the recognition accuracy of the doped device exceeded 90%, representing an improvement of nearly 15% compared to the undoped counterpart. Furthermore, leveraging its enhanced light perception and strong memory characteristics, a precise optical encryption communication scheme with strong anti-interference capability was also designed. The optoelectronic synaptic devices based on element regulated Ga2O3 nanowire network provide a new way for the development of the next generation of high-performance solar-blind optoelectronic neuromorphic systems.

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Publication Details

Journal
Journal of Applied Physics
Published
2025-12-09
DOI
https://doi.org/10.1063/5.0307144
Primary Topic
Ga2O3 and related materials
Type
article
Field-Weighted Citation Impact
0.00

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article

High-performance solar-blind optoelectronic synaptic device based on N-doped Ga2O3 nanowire network for neuromorphic computing

Haizheng Hu, Chenhui Niu, Fan Wu, Kai Chen et al.
Journal of Applied Physics
Ga2O3 and related materials
article

High-performance solar-blind optoelectronic synaptic device based on N-doped Ga2O3 nanowire network for neuromorphic computing

Haizheng Hu, Chenhui Niu, Fan Wu, Kai Chen, Shunli Wang, Jinsong Liu, Xuehua Zhang
article en

Abstract

Optoelectronic synapses use optical signals as modulation inputs and offer advantages such as low-power consumption, non-contact operation, and high parallelism. However, devices operating in the visible and near-infrared regions are susceptible to ambient light interference, leading to signal distortion and high background noise. In contrast, optoelectronic synaptic devices working in a solar-blind region are impervious to external ambient interference, enabling them to achieve stable and high-fidelity signal transmission effectively. Ga2O3 as a wide bandgap with inherent oxygen-vacancy defects has strong deep-ultraviolet light sensitivity, making it an ideal material for solar-blind optoelectronic synapses. Here, high-performance solar-blind synaptic devices were prepared using nanowire network interfacial effects and nitrogen doping to modulate oxygen vacancies. Notably, the paired-pulse facilitation index increased by approximately 1.2 fold after doping. In handwritten digit recognition experiments, the recognition accuracy of the doped device exceeded 90%, representing an improvement of nearly 15% compared to the undoped counterpart. Furthermore, leveraging its enhanced light perception and strong memory characteristics, a precise optical encryption communication scheme with strong anti-interference capability was also designed. The optoelectronic synaptic devices based on element regulated Ga2O3 nanowire network provide a new way for the development of the next generation of high-performance solar-blind optoelectronic neuromorphic systems.

Journal of Applied PhysicsVol. 138(22)
Zhejiang Sci-Tech University (CN), Yiwu Science and Technology Research Institute (CN)
National Natural Science Foundation of China, Zhejiang Sci-Tech University, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 71%
Ga2O3 and related materials
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