Versatile optoelectronic memristor based on wide-bandgap Ga2O3 for artificial synapses and neuromorphic computing

Optoelectronic memristors possess capabilities of data storage and mimicking human visual perception. They hold great promise in neuromorphic visual systems (NVs). This study introduces the amorphous wide-bandgap Ga<sub>2</sub>O<sub>3</sub> photoelectric synaptic memristor, which achieves 3-bit data storage through the adjustment of current compliance (I<sub>cc</sub>) and the utilization of variable ultraviolet (UV-254 nm) light intensities. The "AND" and "OR" logic gates in memristor-aided logic (MAGIC) are implemented by utilizing voltage polarity and UV light as input signals. The device also exhibits highly stable synaptic characteristics such as paired-pulse facilitation (PPF), spike-intensity dependent plasticity (SIDP), spike-number dependent plasticity (SNDP), spike-time dependent plasticity (STDP), spike-frequency dependent plasticity (SFDP) and the learning experience behavior. Finally, when integrated into an artificial neural network (ANN), the Ag/Ga<sub>2</sub>O<sub>3</sub>/Pt memristive device mimicked optical pulse potentiation and electrical pulse depression with high pattern accuracy (90.7%). The single memristive cells with multifunctional features are promising candidates for optoelectronic memory storage, neuromorphic computing, and artificial visual perception applications.

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Publication Details

Journal
Light Science & Applications
Published
2025-04-15
DOI
https://doi.org/10.1038/s41377-025-01773-6
Citations
53
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
38.71

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article

Versatile optoelectronic memristor based on wide-bandgap Ga2O3 for artificial synapses and neuromorphic computing

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53 citations
Light Science & Applications
Advanced Memory and Neural Computing
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article

Versatile optoelectronic memristor based on wide-bandgap Ga2O3 for artificial synapses and neuromorphic computing

Mengyang Kang, Jinshui Miao, Jie Su, Zhenhua Lin, Dongsheng Cui, Yifei Wang, Yun Li, Jingjing Chang, Xiangxiang Gao, Yue Hao, Mengjiao Pei, Jincheng Zhang, Hong Zhang
article en
53 citations

Abstract

Optoelectronic memristors possess capabilities of data storage and mimicking human visual perception. They hold great promise in neuromorphic visual systems (NVs). This study introduces the amorphous wide-bandgap Ga<sub>2</sub>O<sub>3</sub> photoelectric synaptic memristor, which achieves 3-bit data storage through the adjustment of current compliance (I<sub>cc</sub>) and the utilization of variable ultraviolet (UV-254 nm) light intensities. The "AND" and "OR" logic gates in memristor-aided logic (MAGIC) are implemented by utilizing voltage polarity and UV light as input signals. The device also exhibits highly stable synaptic characteristics such as paired-pulse facilitation (PPF), spike-intensity dependent plasticity (SIDP), spike-number dependent plasticity (SNDP), spike-time dependent plasticity (STDP), spike-frequency dependent plasticity (SFDP) and the learning experience behavior. Finally, when integrated into an artificial neural network (ANN), the Ag/Ga<sub>2</sub>O<sub>3</sub>/Pt memristive device mimicked optical pulse potentiation and electrical pulse depression with high pattern accuracy (90.7%). The single memristive cells with multifunctional features are promising candidates for optoelectronic memory storage, neuromorphic computing, and artificial visual perception applications.

Light Science & ApplicationsVol. 14(1)
Xidian University (CN), Shanghai Institute of Technical Physics (CN), Collaborative Innovation Center of Advanced Microstructures (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Xidian University, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Key Research and Development Projects of Shaanxi Province, Shanghai Institute of Technical Physics, Chinese Academy of Sciences
Openalex Percentile: Top 0%
Advanced Memory and Neural Computing
38.71
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