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Enhanced Long‐Term Memory Properties of ZnO Nanoparticle‐Based Optical Synaptic Devices for Neuromorphic Computing

Jae‐Hyeok Oh, Jeonghyeon Kim, Hee‐Jin Kim, Y.-U. Kim, Kyoung‐Kook Kim, Sung‐Nam Lee

2023Advanced Intelligent Systems25 citationsDOIOpen Access PDF

Abstract

The enhancement of long‐term memory properties in optical synaptic devices based on ZnO nanoparticles (NPs) is investigated. High‐temperature annealing improves crystal quality and carrier mobility, leading to efficient carrier generation and transport. The annealed ZnO NPs exhibit increased band edge luminescence and reduced deep‐level emission. Their larger surface grain size decreases oxygen adsorption, resulting in enhanced desorption by photoexcited carriers during UV exposure. The annealed devices show higher excitatory postsynaptic currents (EPSCs) and slower decay rates after UV termination, indicating better long‐term memory. They also demonstrate accelerated learning processes with fewer pulse cycles required to reach 100% EPSC. Overall, this research highlights the significance of high‐temperature annealing for improving long‐term memory in ZnO NP‐based optical synaptic devices, offering insights for advanced memory devices.

Topics & Concepts

Materials scienceNeuromorphic engineeringOptoelectronicsAnnealing (glass)Excitatory postsynaptic potentialNanoparticlePostsynaptic CurrentNanotechnologyComputer scienceChemistryArtificial neural networkComposite materialBiochemistryReceptorMachine learningAdvanced Memory and Neural ComputingPhotoreceptor and optogenetics researchNeural Networks and Reservoir Computing