Improved Model of TiO2 Memristor

Fast statistical model of TiO2 thin-film memristor and design implication

The emerging memristor devices have recently received increased attention since HP Lab reported the first TiO2based memristive structure. As it is at nano-scale geometry size, the uniformity of memristor device is difficult to control due to the process variations in the fabrication process. The incurred design concerns in a memristor-based computing system, e.g, neuromorphic computing, can be ...

Robust Simulation of a TaO Memristor Model

This work presents a continuous and differentiable approximation of a Tantalum oxide memristor model which is suited for robust numerical simulations in software. The original model was recently developed at Hewlett Packard labs on the basis of experiments carried out on a memristor manufactured in house. The Hewlett Packard model of the nano-scale device is accurate and may be taken as referen...

A Memristor Model with Piecewise Window Function

In this paper, we present a memristor model with piecewise window function, which is continuously differentiable and consists of three nonlinear pieces. By introducing two parameters, the shape of this window function can be flexibly adjusted to model different types of memristors. Using this model, one can easily obtain an expression of memristance depending on charge, from which the numerical...

The stochastic modeling of TiO2 memristor and its usage in neuromorphic system design

On the Fractional-order Memristor Model

Fractional order calculus is the general expansion of linear integerorder calculus and is considered as one of the novel topics for modelling dynamical systems in different applications. In this paper, the generalized state equation of the nonlinear two-terminal element which is called memristor is discussed in the fractional-order sense. The effect of the added fractional-order parameter on th...