The Nonlinear Bipolar and Unipolar Switching Behavior of a Memristor

Abstract

The existence of the memristor as a nanoscale fundamental component is an interesting development in electronic systems. This is due to its remarkable nonlinear characteristics and its ability to examine large-scale amounts of storing data and to implement bio-inspired neuromorphic systems used in analyzing data. Research on memristor modeling based on SPICE tools, that are commonly used in electronic systems simulations, has grown rapidly. The aim of this paper is to simulate different types of memristor switching behavior. A simple memristor SPICE model is used to explore four types of memristor. This includes bipolar switching behavior, unipolar switching behavior, bipolar switching behavior with forgetting effect and a reversible process between bipolar and unipolar switching behavior of a memristor. In order to validate this study, the simulation results were compared against experimental data. This comparison showed a good agreement between the simulation results and the experimental results, compared with various memristor models. The SPICE macromodel used in our simulations shows a special advantage for its flexibility and simplicity.