Lee Youngmin, Lee Sejoon
Division of System Semiconductor, Dongguk University, Seoul 04620, Republic of Korea.
Quantum-Functional Semiconductor Research Center, Dongguk University, Seoul 04620, Republic of Korea.
Nanomaterials (Basel). 2024 Nov 23;14(23):1884. doi: 10.3390/nano14231884.
Advancing neuromorphic computing technology requires the development of versatile synaptic devices. In this study, we fabricated a high-performance Al/LiNbO/Pt memristive synapse and emulated various synaptic functions using its primary key operating mechanism, known as oxygen vacancy-mediated valence charge migration (V-VCM). The voltage-controlled V-VCM induced space-charge-limited conduction and self-rectifying asymmetric hysteresis behaviors. Moreover, the device exhibited voltage pulse-tunable multi-state memory characteristics because the degree of V-VCM was dependent on the applied pulse parameters (e.g., polarity, amplitude, width, and interval). As a result, synaptic functions such as short-term memory, dynamic range-tunable long-term memory, and spike time-dependent synaptic plasticity were successfully demonstrated by modulating those pulse parameters. Additionally, simulation studies on hand-written image pattern recognition confirmed that the present device performed with high accuracy, reaching up to 95.2%. The findings suggest that the V-VCM-based Al/LiNbO/Pt memristive synapse holds significant promise as a brain-inspired neuromorphic device.
推进神经形态计算技术需要开发多功能突触器件。在本研究中,我们制造了一种高性能的Al/LiNbO/Pt忆阻突触,并利用其主要关键操作机制——氧空位介导的价电荷迁移(V-VCM)来模拟各种突触功能。电压控制的V-VCM诱导了空间电荷限制传导和自整流不对称滞后行为。此外,该器件表现出电压脉冲可调的多态存储特性,因为V-VCM的程度取决于所施加的脉冲参数(例如极性、幅度、宽度和间隔)。结果,通过调制这些脉冲参数,成功展示了诸如短期记忆、动态范围可调的长期记忆和尖峰时间依赖的突触可塑性等突触功能。此外,对手写图像模式识别的模拟研究证实,当前器件的识别准确率高达95.2%。这些发现表明,基于V-VCM的Al/LiNbO/Pt忆阻突触作为一种受大脑启发的神经形态器件具有巨大潜力。