High-performance in domain matching epitaxial La:HfO2 film memristor for spiking neural network system application

Xiaobing Yan*, Jiangzhen Niu, Ziliang Fang, Jikang Xu, Changlin Chen, Yufei Zhang, Yong Sun, Liang Tong, Jianan Sun, Saibo Yin, Yiduo Shao, Shiqing Sun, Jianhui Zhao, Mario Lanza, Tianling Ren, Jingsheng CHEN, Peng Zhou

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Next-generation synaptic devices with multiple non-volatile states, high endurance and high-temperature operation are highly desired in the era of big data. Here, high-performance memristors are fabricated using La: HfO2(HLO)/La2/3Sr1/3MnO3(LSMO) heterostructures on Si substrate, with domain matching epitaxial structure using SrTiO3(STO) as buffer layer. The devices possess high reliability, nonvolatility, low fluctuation rate (<2.5 %) and the highest number of states per cell (32 states or 5 bits) among the reported Hf-based ferroelectric memories at room temperature (25 °C) and high temperature (85 °C). Moreover, the device exhibits high endurance of 109 cycles and excellent uniformity at the room and high temperatures. The functionality of long-term plasticity in the synaptic device is obtained with high precision (128 states), reproducibility (cycle-to-cycle variation, ∼4.7 %) and linearity. Then, we simulate one system using the stable performance at high temperature that detects the speed of moving targets, which achieves high accuracy of 98 % and 99 % on Human Motion and MNIST datasets, respectively. Furthermore, we have built a hardware circuit to realize a spiking neural network (SNN) system for digital pattern online learning, which demonstrates the capability of the device in brain-like computing applications.

Original languageEnglish (US)
Pages (from-to)365-373
Number of pages9
JournalMaterials Today
Volume80
DOIs
StatePublished - Nov 2024

Keywords

  • Domain matching epitaxy
  • Memristors
  • Spiking neural network

ASJC Scopus subject areas

  • General Materials Science
  • Condensed Matter Physics
  • Mechanics of Materials
  • Mechanical Engineering

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