High-performance self-rectifying memristor array based on Pt/HfO <sub>2</sub>/Ta <sub>2</sub>O <sub>5− <i>x</i> </sub>/Ti structure for flexible electronics

Self-rectifying memristor (SRM) arrays hold tremendous potential in high-density data storage and energy-efficient neuromorphic computing. However, SRM arrays are mostly developed on rigid substrates and lack mechanical flexibility, limiting their applications in intelligent electronic skin, wearable technologies, etc. Here, we present a high-performance SRM array based on Pt/HfO<sub>2</sub>/Ta<sub>2</sub>O<sub>5−<i>x</i></sub>/Ti heterojunctions, which can be fabricated on a flexible polyimides (PI) substrate and demonstrates exceptional memristive performance under bending conditions (bending radius (<i>R</i>) = 1 cm, rectifying ratio &gt; 10<sup>4</sup>, retention time &gt; 10<sup>4</sup> s and endurance &gt; 10<sup>5</sup> cycles). We demonstrate a 16 × 16 flexible memristor array offering noise filtering and data storage capabilities, which can be used to accurately process and store the signals transmitted by a pressure sensor array. This research represents an important advancement towards the realization of next-generation high-performance flexible electronics.

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Publication Details

Journal
Nano Research
Published
2024-12-16
DOI
https://doi.org/10.26599/nr.2025.94907085
Citations
6
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.25
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High-performance self-rectifying memristor array based on Pt/HfO 2/Ta 2O 5− x /Ti structure for flexible electronics

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6 citations
Nano Research
Advanced Memory and Neural Computing
1.25
article

High-performance self-rectifying memristor array based on Pt/HfO 2/Ta 2O 5− x /Ti structure for flexible electronics

Yongguang Xiao, Shaoan Yan, Xiaohan Meng, Gang Li, Xiaojian Zhu, Xiaoyu Ye, Yulin Liu, Rui Liu, Minghua Tang, Shang He, Qing Zhong
article en
6 citations

Abstract

Self-rectifying memristor (SRM) arrays hold tremendous potential in high-density data storage and energy-efficient neuromorphic computing. However, SRM arrays are mostly developed on rigid substrates and lack mechanical flexibility, limiting their applications in intelligent electronic skin, wearable technologies, etc. Here, we present a high-performance SRM array based on Pt/HfO<sub>2</sub>/Ta<sub>2</sub>O<sub>5−<i>x</i></sub>/Ti heterojunctions, which can be fabricated on a flexible polyimides (PI) substrate and demonstrates exceptional memristive performance under bending conditions (bending radius (<i>R</i>) = 1 cm, rectifying ratio &gt; 10<sup>4</sup>, retention time &gt; 10<sup>4</sup> s and endurance &gt; 10<sup>5</sup> cycles). We demonstrate a 16 × 16 flexible memristor array offering noise filtering and data storage capabilities, which can be used to accurately process and store the signals transmitted by a pressure sensor array. This research represents an important advancement towards the realization of next-generation high-performance flexible electronics.

Nano ResearchVol. 18(2)
Ningbo Institute of Industrial Technology (CN), Xiangtan University (CN)
Openalex Percentile: Top 19%
Advanced Memory and Neural Computing
1.25
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