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△ [20a-222-4] Realization of multilevel memory characteristics of Ta2O5-δ ReRAM with Cu top electrode applied
Keywords:Resistive Memory, Multi-value Switching, Tantalum oxide
Being a profound candidate for AI, machine learning based neural networks have been drawing attentions from many fields. Like enormous and yet efficient synaptic connections in a human brain, synapse-like device units are essential for the hardware approaches to neural networks. We have already reported with Ta top electrode applied and optimizing the fabrication conditions, repeatability for MS and stability in Ta2O5-δ based ReRAM were proved improvable. This time, to investigate the further switching mechanism, we used Cu as top electrode and compared the differences.