Characterisation and Data-driven Modelling of Memimpedance

The memristor, as a cutting-edge nanodevice, has been studied for decades and gives rise to a wide range of applications across various fields. Although small signal analysis are crucial in circuit design and memristors exhibit unique Alternating Current (AC) features such as memimpedance, extensive research and reliable AC models are still lacking. This paper presents a memristor small-signal AC model that captures memimpedance effect by statistical modelling the complex impedance as a function of stimulus frequency and resistive state (RS). The model has been developed in Verilog-A and verified in Cadence Virtuoso Electronic Design Automation (EDA) tools. The proposed model can support small-signal analysis for hybrid CMOS/memristor circuits and systems, providing more realistic memristor AC behaviours. The modelled memimpedance signature is expected to enable more emerging circuit applications.