4.4 Article

Coexistence of analog memristive and memcapacitive effects in a Pt/NiO x /NiO/Pt structure

Journal

SEMICONDUCTOR SCIENCE AND TECHNOLOGY
Volume 37, Issue 5, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.1088/1361-6641/ac5b96

Keywords

memristor; memcapacitor; homeostatic plasticity; habituation; sensitization

Funding

  1. Guangdong Province Key Fund [2019B010132002]
  2. Fundamental Research Funds for the Central Universities, Sun Yat-sen University [2021qntd09]
  3. Shenzhen Science and Technology Innovation Committee [KQJSCX20180323174713505]

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In this study, a device with coexisting analog memristive and memcapacitive effects was developed for neuromorphic computing systems. The asynchronous switching behavior of resistance and capacitance in the device was attributed to the reversible migration of oxygen ions between metallic NiO(x) and semiconductor NiO. The device successfully mimicked simple synaptic functions and complex neural properties, presenting new applications for tunable oscillators and artificial neural networks.
The memristor-based neural crossbar is considered a promising device for research on neuromorphic computing. Moreover, memcapacitors can address the limitations caused by the resistive nature of memristors. A device with coexisting memristive and memcapacitive effects can provide rich features for neuromorphic computing systems. In this study, a device with a Pt/NiO (x) /NiO/Pt structure was developed; it demonstrates coexisting analog memristive and memcapacitive effects. The metallic NiO (x) serves as the oxygen storage layer and part of the top electrode. Analog memristive and memcapacitive effects are asynchronous; the resistance increases with reduction in capacitance. The physical mechanism for the asynchronous switching behavior of the resistance and capacitance was attributed to the reversible migration of oxygen ions between the metallic NiO (x) and semiconductor NiO in an electric field. The device was applied to mimicking simple synaptic functions such as short-term potentiation and short-term depression with small nonlinearity (0.0079 for potentiation and 0.00298 for depression). Complex neural properties such as homeostatic plasticity and habituation/sensitization were successfully simulated. This multifunctional device presents new applications for tunable oscillators and artificial neural networks (ANNs).

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