Memristor Dynamics Enabled Computing

Abstract

Since the connection of the theoretical memristor concept with physical resistive switching devices in 2008, tremendous progress has been made in terms of material and device technology developments and their applications in memory and computing systems. The physical embodiments of memristors correspond to various resistive switching devices based on different mechanisms. These mechanisms endow the memristors with rich nonlinear dynamics, which is key to constructing biologically plausible dynamic computing systems. Memristor can be described as a set of differential equations that indicate how the internal state variables determine device characteristics and how external electrical stimulations influence these state variables. The increases in the number of state variables and internal dynamics have dramatically enriched the dynamics and functionality of memristors. Further exploration and control of such dynamics are essential for highly efficient information processing applications.