Nanotechnology · 2019 · 27 citations · 19 references
EngineeringMaterials EngineeringMaterials ScienceNeural CircuitryNeural EngineeringSurface ScienceMemristive MaterialsNeural InterfacesArtificial Synapse MaterialsMicrostructural EngineeringNeural Electrode MaterialsNeural Network-based RecognitionSaturationSaturation BehaviorSynaptic Interface MaterialsSynaptic Structure
Abstract The origins of the nonlinear and asymmetric synaptic characteristics of TiO x -based synapse devices were investigated. Based on the origins, a microstructural electrode was utilized to improve the synaptic characteristics. Under an identical pulse bias, a TiO x -based synapse device exhibited saturated conductance changes, which led to nonlinear and asymmetric synaptic characteristics. The formation of an interfacial layer between the electrode and TiO x layer, which can limit consecutive oxygen migration and chemical reactions, was considered as the main origin of the conductance saturation behavior. To achieve consecutive oxygen migration and chemical reactions, structural engineering was utilized. The resultant microstructural electrode noticeably improved the synaptic characteristics, including the unsaturated, linear, and symmetric conductance changes. These synaptic characteristics resulted in the recognition accuracy significantly increasing from 38% to 90% in a neural network-based pattern recognition simulation.
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Geoffrey W. Burr, R. M. Shelby, Severin Sidler et al. · IEEE Transactions on Electron Devices · 2015 · 923 citations · Full text
Highly reliable TaOx ReRAM and direct evidence of redox reaction mechanism
Zhiqiang Wei, Yuchi Kanzawa, K. Arita et al. · 2008 · 334 citations
Natural Sciences, Materials Engineering, Materials Science +16
Sangsu Park, Geoffrey W. Burr, Hyunsang Hwang et al. · IEEE Electron Device Letters · 2015 · 306 citations
Life Sciences, Electrical Engineering, Materials Science +13