Publication | Open Access
Band‐tailored van der Waals heterostructure for multilevel memory and artificial synapse
120
Citations
52
References
2021
Year
EngineeringEmerging Memory TechnologyHeterostructuresNanoelectronicsMemory DeviceNeuromorphic DevicesMaterials ScienceElectrical EngineeringNanotechnologyElectronic MemoryMicroelectronicsElectronic MaterialsArtificial SynapseApplied PhysicsGrapheneQuantum DevicesMultilevel MemorySns 2Semiconductor MemoryMultilayer HeterostructuresGate Device
Abstract Two‐dimensional (2D) van der Waals heterostructure (vdWH)‐based floating gate devices show great potential for next‐generation nonvolatile and multilevel data storage memory. However, high program voltage induced substantial energy consumption, which is one of the primary concerns, hinders their applications in low‐energy‐consumption artificial synapses for neuromorphic computing. In this study, we demonstrate a three‐terminal floating gate device based on the vdWH of tin disulfide (SnS 2 ), hexagonal boron nitride (h‐BN), and few‐layer graphene. The large electron affinity of SnS 2 facilitates a significant reduction in the program voltage of the device by lowering the hole‐injection barrier across h‐BN. Our floating gate device, as a nonvolatile multilevel electronic memory, exhibits large on/off current ratio (~10 5 ), good retention (over 10 4 s), and robust endurance (over 1000 cycles). Moreover, it can function as an artificial synapse to emulate basic synaptic functions. Further, low energy consumption down to ~7 picojoule (pJ) can be achieved owing to the small program voltage. High linearity (<1) and conductance ratio (~80) in long‐term potentiation and depression (LTP/LTD) further contribute to the high pattern recognition accuracy (~90%) in artificial neural network simulation. The proposed device with attentive band engineering can promote the future development of energy‐efficient memory and neuromorphic devices. image
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