A Novel Flexible Window Function for Modelling Nonlinearity of a Titanium Oxide Memristor for Next Generation Emerging Nonvolatile Memory Applications

Abstract

Extensive deliberations are taking place throughout the world in all forms of media on the subjects of global warming and climate variation. Trees can support us to adapt to a changing climate. They provide shade, alleviate flooding, and make a valuable wildlife home. The raw materials for manufacturing papers are trees and it takes 3 tons of wood to produce 1 ton of copy paper. In every digital electronics devices, memory is a part of the circuit and it similar to note a book that contains paper. The research in memory makes a impacts on paperless work that indirectly helps to avoid cutting a trees and global warming. In order forthe next-generation storage and computing systems, the memristor is a two-terminal passive device who seresistance is varied by external electrical signals and exhibits nonvolatile memory characteristics. Window functions are a specific method that falls into the category of macroscopic models, which is commonly used in the field of memristors to model the nonlinear ionic drift of the device. In this paper, we propose a memristor model with novel flexible window function obtained fromt he combination of sigmoid logistic and Richards equation that resolves the terminal state problem. When the parameters of the proposed models are varied, different type of dynamic behaviours can be found and discussed.