Ga2O3/IGZO heterojunction-based synaptic transistor for neuromorphic visual perception

X Xingqi Ji (College of Medical Information and Artificial Intelligence, Shandong First Medical University and Shandong Academy of Medical Sciences 1 , Jinan 250100,) X Xuemei Yin (School of Information Science and Engineering, Qilu Normal University 3 , Jinan 250100,) Y Yinling Chen (College of Medical Information and Artificial Intelligence, Shandong First Medical University and Shandong Academy of Medical Sciences 1 , Jinan 250100,) X Xiaoqian Li X Xiaoyan Wang (Key Laboratory of Material Chemistry for Energy Conversion and Storage Ministry of Education, Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering) Q Qian Xin

Abstract

A neuromorphic synaptic transistor based on a Ga2O3/IGZO heterojunction is fabricated using radio frequency magnetron sputtering, demonstrating optical-stimulus-dependent postsynaptic current responses modulated by pulse intensity, duration, and frequency. The device successfully emulates essential biological synaptic behaviors, including short-term plasticity, long-term plasticity, paired-pulse facilitation, and learning–experience behavior. Energy band structure analysis reveals that the energy barrier at the Ga2O3/IGZO interface effectively suppresses the rapid recombination of photogenerated carriers, thereby providing insight into the underlying physical mechanisms governing the device's synaptic behavior. A 3 × 3 synaptic array constructed from the proposed device exhibits distinct learning, memory, and forgetting behaviors. Furthermore, the device is applied to visual preprocessing tasks, achieving significant noise suppression efficiency and enhanced image recognition accuracy under Gaussian noise conditions using a recurrent neural network. These results demonstrate the Ga2O3/IGZO heterojunction synaptic transistor's excellent synaptic plasticity and its promising potential for next-generation neuromorphic vision systems.

Article Details

Volume / Issue Vol. 129, Issue 2
Published July 13, 2026
ISSN 0003-6951
Publisher American Institute of Physics

Journal Info

Applied Physics Letters

American Institute of Physics

ISSN: 0003-6951 Physical Sciences

Authors (6)

X

Xingqi Ji

College of Medical Information and Artificial Intelligence, Shandong First Medical University and Shandong Academy of Medical Sciences 1 , Jinan 250100,

X

Xuemei Yin

School of Information Science and Engineering, Qilu Normal University 3 , Jinan 250100,

Y

Yinling Chen

College of Medical Information and Artificial Intelligence, Shandong First Medical University and Shandong Academy of Medical Sciences 1 , Jinan 250100,

X

Xiaoqian Li

X

Xiaoyan Wang

Key Laboratory of Material Chemistry for Energy Conversion and Storage Ministry of Education, Hubei Key Laboratory of Material Chemistry and Service Failure, School of Chemistry and Chemical Engineering

Q

Qian Xin