Hf0.5Zr0.5O2-based ferroelectric memristor with multilevel storage potential and artificial synaptic plasticity

Memristors are designed to mimic the brain’s integrated functions of storage and computing, thus breaking through the von Neumann framework. However, the formation and breaking of the conductive filament inside a conventional memristor is unstable, which makes it difficult to realistically mimic the...

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Bibliographic Details
Published in:Science China materials 2021-03, Vol.64 (3), p.727-738
Main Authors: Yu, Tianqi, He, Fuchao, Zhao, Jianhui, Zhou, Zhenyu, Chang, Jingjing, Chen, Jingsheng, Yan, Xiaobing
Format: Article
Language:English
Subjects:
Chemistry and Materials Science
Chemistry/Food Science
Ferroelectric domains
Ferroelectric materials
Ferroelectricity
Materials Science
Memristors
Polarization
Thin films
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Summary:Memristors are designed to mimic the brain’s integrated functions of storage and computing, thus breaking through the von Neumann framework. However, the formation and breaking of the conductive filament inside a conventional memristor is unstable, which makes it difficult to realistically mimic the function of a biological synapse. This problem has become a main factor that hinders memristor applications. The ferroelectric memristor overcomes the shortcomings of the traditional memristor because its resistance variation depends on the polarization direction of the ferroelectric thin film. In this work, an Au/Hf 0.5 Zr 0.5 O 2 /p + -Si ferroelectric memristor is proposed, which is capable of achieving resistive switching characteristics. In particular, the proposed device realizes the stable characteristics of multilevel storage, which possesses the potential to be applied to multi-level storage. Through polarization, the resistance of the proposed memristor can be gradually modulated by flipping the ferroelectric domains. Additionally, a plurality of resistance states can be obtained in bidirectional continuous reversibility, which is similar to the changes in synaptic weights. Furthermore, the proposed memristor is able to successfully mimic biological synaptic functions such as long-term depression, long-term potentiation, paired-pulse facilitation, and spike-timing-dependent plasticity. Consequently, it constitutes a promising candidate for a breakthrough in the von Neumann framework.
ISSN:2095-8226
2199-4501
DOI:10.1007/s40843-020-1444-1