Deep ultraviolet optoelectronic memristors based on gallium oxide for biomimetic visual processing and neuromorphic memory applications

Deep ultraviolet (DUV) has a wide range of applications in areas such as the monitoring and communication fields. However, the separation of sensor units and memory units in conventional DUV photodetectors will increase costs and reduce processing speed. In this paper, we report the development of DUV photoelectric memristors fabricated using gallium oxide (Ga2O3) to emulate the photoelectric synaptic functions of bionic visual system. The devices showcase nonvolatile resistance switching behavior, effectively mimicking neuromorphic processes such as short-term plasticity and long-term plasticity in both singular and repeated cycles under optical pulse modulation. Moreover, the fabrication of a 5 × 5 array configuration allowed us to simulate the learning, memory formation, and forgetting process, along with the ability to store and erase the image information. This work not only broadens the application scope of Ga2O3 as an ultra-wide bandgap semiconductor but also offers insight into the development of integrated sensing-storage devices for artificial intelligence systems, paving the way for future advancements in neuromorphic engineering and bio-inspired computing systems.

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Publication Details

Journal
Applied Physics Letters
Published
2025-04-01
DOI
https://doi.org/10.1063/5.0259184
Citations
12
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
8.77

Funders

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article

Deep ultraviolet optoelectronic memristors based on gallium oxide for biomimetic visual processing and neuromorphic memory applications

Weihua Tang, Hui Yang, Dianmeng Dong, Yijie Liang et al.
12 citations
Applied Physics Letters
Advanced Memory and Neural Computing
8.77
article

Deep ultraviolet optoelectronic memristors based on gallium oxide for biomimetic visual processing and neuromorphic memory applications

Weihua Tang, Hui Yang, Dianmeng Dong, Yijie Liang, Zhenping Wu, Fan Zhang, Xiaotong Ma, Yongtao Yang, Song Qi
article en
12 citations

Abstract

Deep ultraviolet (DUV) has a wide range of applications in areas such as the monitoring and communication fields. However, the separation of sensor units and memory units in conventional DUV photodetectors will increase costs and reduce processing speed. In this paper, we report the development of DUV photoelectric memristors fabricated using gallium oxide (Ga2O3) to emulate the photoelectric synaptic functions of bionic visual system. The devices showcase nonvolatile resistance switching behavior, effectively mimicking neuromorphic processes such as short-term plasticity and long-term plasticity in both singular and repeated cycles under optical pulse modulation. Moreover, the fabrication of a 5 × 5 array configuration allowed us to simulate the learning, memory formation, and forgetting process, along with the ability to store and erase the image information. This work not only broadens the application scope of Ga2O3 as an ultra-wide bandgap semiconductor but also offers insight into the development of integrated sensing-storage devices for artificial intelligence systems, paving the way for future advancements in neuromorphic engineering and bio-inspired computing systems.

Applied Physics LettersVol. 126(14)
Beijing University of Posts and Telecommunications (CN), Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, State Key Laboratory of Information Photonics and Optical Communications, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 2%
Advanced Memory and Neural Computing
8.77
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