Photoelectric-Modulated Artificial Synapse Based on Ga 2 O 3 -Based Memristor for Neuromorphic Computing

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Authors: Nan He, Zi Li, Jiyuan Jiang, S. J. Chen, Haiming Qin, Xueqiang Ji, X Zhang, Shiyu Li, Hao Zhang, Xinpeng Wang, Xiaojuan Lian, Yi Tong
+1 more Lei Wang
Cited by: 1
References: 38

Abstract

The Ga2O3-based memristors, fabricated via electron beam evaporation (EBE), exhibit both volatile and nonvolatile resistive switching behaviors. The nonvolatile Ga2O3-based memristors exhibit remarkable resistive switching properties, featuring outstanding cyclic stability, a substantial switching window (>100), and notably low SET/RESET voltages. The observed dual switching modes are attributed to filamentary conduction driven by metallic Cu filaments assisted by oxygen vacancies. The studied Ga2O3-based devices demonstrate both electrically and optically tunable synaptic functionalities, including paired-pulse facilitation (PPF), spike-rate-dependent plasticity (SRDP), spike-timing-dependent plasticity (STDP), potentiation and depression behaviors, as well as light-induced memory characteristics and learning-forgetting capabilities. Intriguingly, high recognition precision of 89.14% on Fashion-MNIST and 97.84% on modified National Institute of Standards and Technology database (MNIST) indicates that wide bandgap semiconductor Ga2O3-based memristors hold immense potential for advancing future neuromorphic computing.

Fields of Study & Subjects

Advanced Memory and Neural Computing Transition Metal Oxide Nanomaterials Ferroelectric and Negative Capacitance Devices

Publication details

Journal / source
IEEE Transactions on Electron Devices
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
73
Issue
2
Pages
1001–1007
Publication date
12 January 2026