Performance enhancement in NbO2/HfO2 bilayer threshold switching memristor as an oscillatory neuron

NbO2-based threshold switching (TS) devices show great potential for artificial neurons in neuromorphic computing. Here, by inserting an HfO2 layer with a thickness of 10 nm, an NbO2/HfO2 bilayer memristor achieved excellent volatile performance with a low threshold voltage (Vth) of 1 V, a small Vth/Vh coefficient of variation, and high selectivity over 102. From the temperature dependence I–V curves of NbO2/HfO2 memristors, it is observed that Vth decreases and OFF current (IOFF) increases with the increase in the test temperature, which agrees well with the behavior of the NbO2 TS memristor originating from the Mott transition mechanism. Furthermore, a leaky integrate-and-fire (LIF) neuron circuit containing an NbO2/HfO2 memristor is built to simulate biological neuron characteristics, and the oscillation frequencies for the neuron can achieve a high value over 4 MHz, which belongs to the fastest ones among TS devices and shows that the design of the Ti/NbO2/HfO2/Pt memristor is feasible for enhancing the response speed and information processing capability for application in neuromorphic computing as the main component of an artificial neuron system.

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Publication Details

Journal
Applied Physics Letters
Published
2025-09-15
DOI
https://doi.org/10.1063/5.0265442
Citations
1
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.73
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article

Performance enhancement in NbO2/HfO2 bilayer threshold switching memristor as an oscillatory neuron

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1 citations
Applied Physics Letters
Advanced Memory and Neural Computing
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article

Performance enhancement in NbO2/HfO2 bilayer threshold switching memristor as an oscillatory neuron

Shanwu Ke, Yaoyao Jin, Canhui Liu, Cong Ye, Guangyu Liu, Yifan Zhao, Zihao Zhang
article en
1 citations

Abstract

NbO2-based threshold switching (TS) devices show great potential for artificial neurons in neuromorphic computing. Here, by inserting an HfO2 layer with a thickness of 10 nm, an NbO2/HfO2 bilayer memristor achieved excellent volatile performance with a low threshold voltage (Vth) of 1 V, a small Vth/Vh coefficient of variation, and high selectivity over 102. From the temperature dependence I–V curves of NbO2/HfO2 memristors, it is observed that Vth decreases and OFF current (IOFF) increases with the increase in the test temperature, which agrees well with the behavior of the NbO2 TS memristor originating from the Mott transition mechanism. Furthermore, a leaky integrate-and-fire (LIF) neuron circuit containing an NbO2/HfO2 memristor is built to simulate biological neuron characteristics, and the oscillation frequencies for the neuron can achieve a high value over 4 MHz, which belongs to the fastest ones among TS devices and shows that the design of the Ti/NbO2/HfO2/Pt memristor is feasible for enhancing the response speed and information processing capability for application in neuromorphic computing as the main component of an artificial neuron system.

Applied Physics LettersVol. 127(11)
Dongguan University of Technology (CN), Ministry of Education (ME), Hubei University (CN)
Openalex Percentile: Top 23%
Advanced Memory and Neural Computing
0.73
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