Schroedter et al. "SPICE Compact Model for an Analog Switching Niobium Oxide Memristor", MOCAST 2022

R. Schroedter, A. S. Demirkol, A. Ascoli, R. Tetzlaff, E. Mgeladze, M. Herzig, S. Slesazeck, T. Mikolajick, "SPICE Compact Model for an Analog Switching Niobium Oxide Memristor", International Conference on Modern Circuits and Systems Technologies (MOCAST) on Electronics and Communications, Bremen, 2022, DOI: 10.1109/MOCAST54814.2022.9837726

In this paper, we present a compact SPICE model of an analog switching memristive device based on niobium oxide and investigate the functionality of the same as a synapse element through its compact model by utilizing it in a simulation of an 8x8 resistive crossbar array. Considering especially the von Neumann bottleneck for neural network computing tasks, memristive crossbar arrays offer a potential in-memory computing solution performing highly parallel matrix-vector multiplication and reducing the energy consumption. In particular, multi- level switching memristive devices with intrinsic self-compliance are predestined for crossbar operations. Based on experimental results of a bi-layer Ti/Al2O3/Nb2O5/Ti stack, a compact physical model was recently derived, assuming an underlying Poole-Frenkel emission mechanism. High model accuracy in terms of I-V behaviors, dynamic route map and power exponent plots were demonstrated by fitting the nonlinear I-V relation and the state function to measurement data, verifying analog gradual switching for the voltage driven extended memristor. In this paper the SPICE implementation for the core memductance accompanied by a parallel and series resistor is introduced and its application for sense analysis via analog and multi-memristor circuit exploitation is presented. Adopting the SPICE model, the switching dynamics is investigated and discussed for performing synaptic potentiation and depression behavior in a potential crossbar application.