Comparative Analysis of Switching Dynamics in Different Memristor Models
Abstract: Memristor, memory resistor, is an emerging technology for computational memory. Number of different memristor models are available based on the physical experiments. To use memristor as a computational memory element, one should know how the internal state modulates in time when driven by current or voltage. In this paper, we examine three widely used models and make a comparison of how internal state in these models changes with respect to input current or voltage. In Strukov model, internal state changes linearly with the input current. However, the linearity of internal state modulation in Yang model can be controlled. On the other hand, Pickett model shows non linear variation in internal state with the input current.
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