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Artificial optoelectronic synapses based on Ga<sub>2</sub>O<sub>3</sub> metal–semiconductor–metal solar‐blind ultraviolet photodetectors with asymmetric electrodes for neuromorphic computing

Huazhen Sun, Bingjie Ye, Mei Ge, Biao Gong, Leyang Qian, И. Н. Пархоменко, Ф. Ф. Комаров, Yu Liu, Guofeng Yang

2025Responsive materials26 citationsDOIOpen Access PDF

Abstract

Abstract Research on optoelectronic synapses that can integrate both detection and processing functions is essential for the development of efficient neuromorphic computing. Here, we experimentally demonstrated an Ga 2 O 3 ‐based metal–semiconductor–metal (MSM) solar‐blind ultraviolet (UV) photodetector (PD) with asymmetric interdigital electrodes. The Ga 2 O 3 PD exhibits a responsivity of 732 A/W under a forward bias of 6 V. The tunable conductance properties of PDs provide a novel approach to synaptic performance. The proposed PDs as artificial synapse realized several essential synaptic function, including excitatory postsynaptic current, paired‐pulse facilitation, long‐term potentiation, the transition from short‐term memory to long‐term memory, and learning experience behaviors successfully. At a reverse bias, an ultra‐low energy consumption of 140 fJ was achieved. In addition, the optoelectronic synapses demonstrated a recognition accuracy of over 95% in the MNIST handwritten number recognition task. These results suggest that Ga 2 O 3 MSM solar‐blind UV PDs have high potential for efficient optoelectronic neuromorphic computing applications.

Topics & Concepts

PhotodetectorNeuromorphic engineeringUltravioletOptoelectronicsMaterials scienceElectrodeSemiconductorMetalComputer sciencePhysicsArtificial neural networkArtificial intelligenceQuantum mechanicsMetallurgyPerovskite Materials and ApplicationsNeural Networks and Reservoir ComputingAdvanced Memory and Neural Computing
Artificial optoelectronic synapses based on Ga<sub>2</sub>O<sub>3</sub> metal–semiconductor–metal solar‐blind ultraviolet photodetectors with asymmetric electrodes for neuromorphic computing | Litcius