记忆电阻器
突触
材料科学
纳米技术
神经形态工程学
异质结
人工智能
人工神经网络
计算机科学
光电子学
电气工程
工程类
神经科学
生物
作者
Ranveer Singh,Mohit Kumar,Shahid Iqbal,Hyun‐Woo Kang,Ji‐Yong Park,Hyungtak Seo
标识
DOI:10.1016/j.apsusc.2020.147738
摘要
Abstract A synaptic device based on memristive switching that functionally mimics a biological synapse uses an electronic synapse (like a wire) to realize neuromorphic computing. Conventional two-terminal based memristors can be used for high-performing synaptic devices; however, these memristors suffer from several shortcomings (e.g. reproducibility) due to unstable filament formation during the switching process. Here, a solid state electronic synaptic device based on WO3/NiO/FTO heterostructures has been demonstrated. The typical artificial synaptic device behavior was observed from the current–voltage characteristics under consecutive voltage sweeps which revealing clockwise hysteresis. The schematic of the working mechanism of the solid-state electronic synapses revealed that the presence of the NiO layer, working as a carrier selective layer, enhances the trapping of charge carriers and thereby improves the stability and switching uniformity. In addition, from the analysis on the carrier transport mechanisms, the trap-filled assists space-charge-limited-current conduction mechanism is found to be dominant. This work will be an important step forward towards the realization of low-cost and transparent synaptic behavior.
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