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A liquid electrolyte-based memristor with application in associate learning

Gang Dou, Jiandong Liu, Wenhai Guo, Lixin Liu, Douyin Zhang, Mei Guo

2023Applied Physics Letters12 citationsDOI

Abstract

Most of the existing memristors are complicated to prepare, which is not conducive to actual applications. In this paper, a Zn/ZnSO4/Pt (ZSP) memristor with a simple preparation method is fabricated. The I–V characteristics show good switching characteristics and a stable SET/RESET process. By modulating the weight (current of the memristor) continuously, the ZSP memristor simulates typical synaptic plasticity. The ZSP memristor acts as an artificial synapse in the associate learning circuit, and the learning-forgetting-relearning process is implemented. The experimental results will inspire the development of electrolyte memristors. The advantages of the ZSP memristor such as easy preparation and stable performance can be utilized for future mass manufacturing and commercial applications.

Topics & Concepts

MemristorMemistorComputer scienceForgettingReset (finance)ElectrolyteProcess (computing)Materials scienceNanotechnologyResistive random-access memoryVoltageElectronic engineeringElectrical engineeringElectrodeChemistryEngineeringEconomicsPhysical chemistryOperating systemPhilosophyLinguisticsFinancial economicsAdvanced Memory and Neural ComputingNeuroscience and Neural EngineeringFerroelectric and Negative Capacitance Devices
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