Nano Letters · 2021 · 145 citations · 30 references
EngineeringElectrical EngineeringMaterials ScienceElectronic MaterialsMicroelectronicsSemiconductor DevicesDevice ModelingMemory DevicesMemristive MaterialsSemiconductor Device MaterialsSemiconductor NanomaterialsSemiconductor PhysicsEnduranceIon MigrationNeuromorphic DevicesNeuromorphic HardwarePower ConsumptionResistive SwitchingResistive Switching MaterialsTransition Metal Dichalcogenides
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.
30
Robust memristors based on layered two-dimensional materials
Miao Wang, Songhua Cai, Chen Pan et al. · Nature Electronics · 2018 · 782 citations · Full text
Electronic synapses made of layered two-dimensional materials
Yuanyuan Shi, Xianhu Liang, Bin Yuan et al. · Nature Electronics · 2018 · 636 citations
Natural Sciences, Materials Engineering, Materials Science +14