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Halide-Perovskite-Based Memristor Devices and Their Application in Neuromorphic Computing

Soumitra Satapathi, Kanishka Raj, Yukta Yukta, Mohammad Adil Afroz

2022Physical Review Applied58 citationsDOIOpen Access PDF

Abstract

Memristors have great potential in next-generation smart electronics and neuromorphic computing. The halide perovskites (HP) receive increasing attention in this context, due to their mixed ionic\penalty1000-\hskip0ptelectronic conduction behavior, adjustable band gap, facile fabrication, low operating current, and ultralow leakage current. Advanced synaptic functions from HP memristors could be realized via more complex, three-terminal device architectures with low energy consumption. This review provides detailed insight into the operating mechanism, recent advancements, and remaining challenges of HP memristors, and suggests future prospects for the development of next-generation neuromorphic devices.

Topics & Concepts

Neuromorphic engineeringMemristorContext (archaeology)Materials sciencePerovskite (structure)Computer scienceElectronicsHalideFabricationNanotechnologyOptoelectronicsElectronic engineeringElectrical engineeringArtificial neural networkEngineeringArtificial intelligenceChemistryPaleontologyAlternative medicineChemical engineeringMedicineBiologyPathologyInorganic chemistryAdvanced Memory and Neural ComputingPerovskite Materials and ApplicationsTransition Metal Oxide Nanomaterials
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