作者
Lingzhi Tang, Yang Huang, Chen Wang, Zhenxuan Zhao, Yiming Yang, Jiming Bian, Huaqiang Wu, Zengxing Zhang, David Wei Zhang
发表日期
2022
期刊
Journal of Materials Chemistry C
卷号
10
期号
39
页码范围
14695-14702
出版商
Royal Society of Chemistry
简介
Threshold switching (TS) memristor-based artificial neurons have been regarded as one of the promising solutions for constructing circuits of spiking neural networks (SNNs) due to their intrinsic similarity to biological neurons. Limited by their materials and process, current flexible TS memristors still face significant challenges in obtaining both a fast-operating speed and robust flexibility. This paper demonstrates flexible TS memristors with Au/organic–inorganic hybrid halide perovskite (OIHP)/Au/polyethylene naphthalate (PEN) structures by a low-cost solution process, which exhibit an ultrahigh switching speed (<35/90 ns) and a robust flexibility. The leaky integrate-and-fire dynamics and strength-modulated spike frequency response of the devices as artificial neurons are simulated through SPICE. The switching speed of the devices depending on the spike event processing ability and the energy efficiency of …
引用总数
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L Tang, Y Huang, C Wang, Z Zhao, Y Yang, J Bian… - Journal of Materials Chemistry C, 2022