Gate-Tunable Optoelectronic Synapses Based on All-Solution-Derived ZnO/Al <sub>2</sub> O <sub>3</sub> /HfO <sub>2</sub> Thin-Film Transistors for Efficient Neuromorphic Vision Systems

Optoelectronic synapses play a crucial role in the development of neuromorphic computing systems. In this study, the optoelectronic synaptic properties of a thin-film transistor (TFT) that utilizes all solution-derived ZnO/Al 2 O 3 /HfO 2 thin films have been investigated. The device shows a field-effect channel mobility of 29.60 cm 2 ·V −1 ·s −1, an on-off current ratio of 2.3 × 10 8, a threshold voltage of 3.14 V, and a subthreshold slope of 81.23 mV/dec with a drain voltage of 4 V. The optical synaptic properties were studied by applying continuous gate voltages with varying polarity and magnitude. Photo-induced Excitatory Post-Synaptic Current spikes are boosted by gate bias, regardless of polarity. Retention time, however, is extended only with a positive bias. This is due to the rapid separation and trapping of photogenerated carriers under illumination and gate bias. As a result, the device achieves 92.48% recognition accuracy in handwritten digit recognition with a positive gate voltage of 0.5 V. This is higher than 88.83% at −0.5 V and 90.81% without bias. This research provides an alternative way for developing low-cost, high-performance neuromorphic vision perception systems.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2026-06-24
DOI
https://doi.org/10.1021/acsaelm.6c00596
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00

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article

Gate-Tunable Optoelectronic Synapses Based on All-Solution-Derived ZnO/Al 2 O 3 /HfO 2 Thin-Film Transistors for Efficient Neuromorphic Vision Systems

Jiabin Yan, Yu Zhang, Yongjin Wang, Changsuo Yu et al.
ACS Applied Electronic Materials
Advanced Memory and Neural Computing
article

Gate-Tunable Optoelectronic Synapses Based on All-Solution-Derived ZnO/Al 2 O 3 /HfO 2 Thin-Film Transistors for Efficient Neuromorphic Vision Systems

Jiabin Yan, Yu Zhang, Yongjin Wang, Changsuo Yu, Xianwu Tang, Ming Liu, Yihan Cui
article en

Abstract

Optoelectronic synapses play a crucial role in the development of neuromorphic computing systems. In this study, the optoelectronic synaptic properties of a thin-film transistor (TFT) that utilizes all solution-derived ZnO/Al 2 O 3 /HfO 2 thin films have been investigated. The device shows a field-effect channel mobility of 29.60 cm 2 ·V −1 ·s −1, an on-off current ratio of 2.3 × 10 8, a threshold voltage of 3.14 V, and a subthreshold slope of 81.23 mV/dec with a drain voltage of 4 V. The optical synaptic properties were studied by applying continuous gate voltages with varying polarity and magnitude. Photo-induced Excitatory Post-Synaptic Current spikes are boosted by gate bias, regardless of polarity. Retention time, however, is extended only with a positive bias. This is due to the rapid separation and trapping of photogenerated carriers under illumination and gate bias. As a result, the device achieves 92.48% recognition accuracy in handwritten digit recognition with a positive gate voltage of 0.5 V. This is higher than 88.83% at −0.5 V and 90.81% without bias. This research provides an alternative way for developing low-cost, high-performance neuromorphic vision perception systems.

ACS Applied Electronic Materials
Nanjing University of Posts and Telecommunications (CN)
Nanjing University of Posts and Telecommunications, Jiangsu Provincial Department of Education
Affordable and clean energy
Openalex Percentile: Top 10%
Advanced Memory and Neural Computing
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