The Enhanced Performance of Neuromorphic Computing Hardware in an ITO/ZnO/HfO(x)/W Bilayer-Structured Memory Device

ITO/ZnO/HfO(x)/W双层结构存储器件中神经形态计算硬件性能的提升

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Abstract

This study discusses the potential application of ITO/ZnO/HfO(x)/W bilayer-structured memory devices in neuromorphic systems. These devices exhibit uniform resistive switching characteristics and demonstrate favorable endurance (>10(2)) and stable retention (>10(4) s). Notably, the formation and rupture of filaments at the interface of ZnO and HfO(x) contribute to a higher ON/OFF ratio and improve cycle uniformity compared to RRAM devices without the HfO(x) layer. Additionally, the linearity of potentiation and depression responses validates their applicability in neural network pattern recognition, and spike-timing-dependent plasticity (STDP) behavior is observed. These findings collectively suggest that the ITO/ZnO/HfO(x)/W structure holds the potential to be a viable memory component for integration into neuromorphic systems.

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