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Zn-doped Ga2O3 based two-terminal artificial synapses for neuromorphic computing applications

Authors: FAN Huichen; WANG Haonan; CHEN Wandi; SU Wenjuan; WENG Shuchen; ZOU Zhenyou; SUN Lei; ZHOU Xiongtu; WU Chaoxing; GUO Tailiang; ZHANG Yongai

DOI: 10.1007/s40843-025-3498-5Status: Verified Translated Edition
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Key Findings in This Report

• • Zn doping yields a 106-fold increase in excitatory post-synaptic current under 254 nm illumination compared to undoped Ga2O3, directly enabling high-sensitivity optoelectronic synaptic response for low-light neuromorphic hardware. • • Synaptic event energy consumption reaches 28 fJ (electrical) and 2 nJ (optical), positioning ZGO devices for ultra-low-power edge computing where energy budgets are constrained below picojoule thresholds. • • The multi-layer perceptron simulation achieves 90.74% accuracy in handwritten digit recognition and retains 76.18% accuracy under 50% noise, demonstrating robust fault tolerance critical for real-world deployment in noisy industrial environments. • • Persistent photoconductivity in ZGO thin films is attributed to abundant oxygen vacancies, providing a tunable defect engineering pathway to optimize synaptic plasticity and retention without compromising device scalability.