Memistor

About: Memistor is a research topic. Over the lifetime, 608 publications have been published within this topic receiving 34905 citations.

Research progress of the memristor and its application foreground

Abstract: The origin and development of the memristor are reviewedThe physical characteristics of the memristor are discussed,memristor characteristics of being made from TiO2 and TiO2–x materials are showedThe functions,using ways and problems of needing to solve of the memristor are exploredThe advantages and structure properties of the memristor used in memories and its application foreground at simulating neural networks are discussed

A CAD-oriented simulation methodology for memristive circuits

Abstract: With the fabrication of the nanometric memristor in 2008, a large number of applications in electronic design have been devised for the new device. Despite the current problems involved in its fabrication, the memristor is considered to be the basic circuit cell for the development of modern electronic systems. Unquestionably, it is necessary to develop circuit design verification methodologies and CAD tools for circuits containing memristors as well as traditional electronics. In this paper, we present a circuit simulation methodology for the electrical simulation of memristive circuits. The methodology results in a nonlinear constitutive branch relationship for the memristor that can be straightforwardly combined with models for traditional components in a standard industry package for electrical simulation.

A Modified Metal Oxide Memristor Model

Abstract: The memristor is a new and promising electronic memory element and could be a possible replacement for the present CMOS components. Due to its nano size, low energy usage and memory effect, it could be used in neural nets, memory crossbars, reconfigurable analogue and digital devices and other electronic schemes. In this paper, a simple, fast functioning modified metal oxide memristor model is suggested. Its corresponding LTSPICE library model is generated and successfully analyzed in a simple neural network. The model’s behavior is in accordance with the basic fingerprints of the memristor elements. Its proper operation and applicability in memristor-based devices is established.

Analysis of Parasitic Effects in a Crossbar in CMOS Based Neuromorphic System for Pattern Recognition Using Memristive Synapses

Abstract: This paper proposes a complete CMOS realized neuromorphic system for pattern recognition having CMOS-based memristor emulators as synaptic circuits. The crossbar array of the system is modeled by considering the emulator circuit's area to determine the spacing between the interconnects. The interconnect parasitics are obtained from the ANSYS Q3D extractor. Parasitics extracted are also validated using the analytical model. A crossbar array architecture modeled with the extracted parasitic components and the memristor emulator will provide an understanding of the behavior of the crossbar array and can be used to analyze the parasitic effects on various real-time applications. Our analysis shows that as the operating frequency increases, the recognition rate of the neuromorphic system is reduced to 66.67% due to the crossbar's parasitics, non-idealities of the neuron, and memristor circuits. The memristor's state, either low or high resistance, significantly affects the system's performance, which is evaluated by the rise time and signal delay. The energy consumed by the CMOS-based memristor emulator synapse for recognizing each pattern is 0.44 $nJ$, which is significantly lower when compared with the previous works. The circuit design and verification are done using 180-nm CMOS technology.

Design and implementation of non-linear oscillator circuit using nanoelectronic devices

Abstract: A fundamental circuit element that has a created revolution in electronics background after resistor, inductor and capacitor is memristor, which establishes the relationship between charge and flux. It is a passive element combining the properties of memory and resistor. The memristor has turned out to be a huge success in the field of nano-electronics, Reversible logic and neuromorphic circuits. In this paper, we focused on the properties of memristor and to replace the Non-linear Resistance (Chua diode) in the classical Chua Oscillator with the memristor for storing the data in resistance stage and to reduce the power consumption.