Litcius/Paper detail

MemChar: Portable Low-Power and Low-Cost Characterization Tool for Memristor Devices

Khaled Humood, Heba Abunahla, Baker Mohammad

2022IEEE Transactions on Instrumentation and Measurement15 citationsDOI

Abstract

Recently, Memristor (MR) device has received much attention in many applications, including memory, computing, neuromorphic, sensing, and security. Electrical characterization and testing of MR are among the main challenges facing MR technology. Available MR characterization tools are costly and bulky, limiting the research contributions in this field to big institutions. Furthermore, there is a need for a portable testing platform that provides the means to extract MR parameters, mainly when used in sensing or security applications. This work proposes a novel power-efficient, cost-effective, lightweight, and automated Arduino-based MR characterization platform named MemChar. A detailed circuit and system implementation of MemChar are presented. MemChar functionality results are compared to industry-standard device parameter analyzer tools, i.e., Keithley 4200A, with excellent correlation. MemChar is an easy-to-implement and user-friendly platform that provides a significant milestone toward utilizing MR devices in mobile, IoT, and sensing applications.

Topics & Concepts

MemristorEmbedded systemNeuromorphic engineeringComputer scienceCharacterization (materials science)LimitingElectrical engineeringComputer hardwareEngineeringArtificial neural networkArtificial intelligenceMechanical engineeringNanotechnologyMaterials scienceAdvanced Memory and Neural ComputingFerroelectric and Negative Capacitance DevicesNeuroscience and Neural Engineering
MemChar: Portable Low-Power and Low-Cost Characterization Tool for Memristor Devices | Litcius