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Exploring Low Power and Ultrafast Memristor on p-Type van der Waals SnS

Xiu Fang Lu, Yishu Zhang, Naizhou Wang, Sheng Luo, Kunling Peng, Lin Wang, Hao Chen, Weibo Gao, Xian Hui Chen, Yang Bao, Gengchiau Liang, Kian Ping Loh

2021Nano Letters145 citationsDOI

Abstract

Memristor devices that exhibit high integration density, fast speed, and low power consumption are candidates for neuromorphic devices. Here, we demonstrate a filament-based memristor using p-type SnS as the resistive switching material, exhibiting superlative metrics such as a switching voltage ∼0.2 V, a switching speed faster than 1.5 ns, high endurance switching cycles, and an ultralarge on/off ratio of 108. The device exhibits a power consumption as low as ∼100 fJ per switch. Chip-level simulations of the memristor based on 32 × 32 high-density crossbar arrays with 50 nm feature size reveal on-chip learning accuracy of 87.76% (close to the ideal software accuracy 90%) for CIFAR-10 image classifications. The ultrafast and low energy switching of p-type SnS compared to n-type transition metal dichalcogenides is attributed to the presence of cation vacancies and van der Waals gap that lower the activation barrier for Ag ion migration.

Topics & Concepts

Neuromorphic engineeringMemristorvan der Waals forceMaterials scienceOptoelectronicsUltrashort pulseResistive random-access memoryType (biology)VoltagePhysicsComputer scienceOpticsArtificial neural networkLaserQuantum mechanicsMoleculeBiologyMachine learningEcologyAdvanced Memory and Neural ComputingPhotoreceptor and optogenetics researchNeuroscience and Neural Engineering
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