Memristive Fibers for Intelligent Textiles Information Storage and Processing in Multi‐Scenarios

Memristive fibers combine information storage and computing in textile-compatible crossbar arrays, enabling intelligent textiles to process signals from integrated electronics. A simple, cost-effective coating method for complex fiber surfaces with insufficient conductivity or difficult to withstand high pressure plays a key role in textile memristor tech. Here, a high-performance and reliable textile memristor fabricated from robust copper-tin oxide coated carbon fibers (CuSnO@C<sub>f</sub>) memristive fibers through a process involving two-stage selective electroless plating and subsequent thermal oxidation is reported. The surface coating of the memristive fiber includes a self-lopaded active electrode containing metal/intermetallic compounds (metal/IMCs), and a memristive functional layer (bimetallic amorphous oxide), which makes it exhibit a low set voltage (≈0.342 V), long retention time (>10<sup>4</sup> s) for multilevel storage (5 stages), high ON/OFF ratio (up to 6.58 × 10<sup>5</sup>), low energy consumption (34.5 pW), multi conductivity state (24), excellent synaptic plasticity, outstanding stability and durability. Besides, the textile memristor exhibits good repeatability and multi-level storage capability between devices, and can clearly recognize letters (H, V, O) through offline training and weight mapping. Highly compatible with intelligent textiles, the technology enables real-time diagnostics with accurate physiological data analysis. These advanced information processing capabilities will significantly advance intelligent textiles systems.

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Publication Details

Journal
Small
Published
2025-07-01
DOI
https://doi.org/10.1002/smll.202505191
Citations
3
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.19
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article

Memristive Fibers for Intelligent Textiles Information Storage and Processing in Multi‐Scenarios

Zizhao Ding, Zixiang Zhao, Shenglong Huang, Yuh‐Jen Cheng et al.
3 citations
Small
Advanced Memory and Neural Computing
2.19
article

Memristive Fibers for Intelligent Textiles Information Storage and Processing in Multi‐Scenarios

Zizhao Ding, Zixiang Zhao, Shenglong Huang, Yuh‐Jen Cheng, Chao Jiang, Dou Zhang
article en
3 citations

Abstract

Memristive fibers combine information storage and computing in textile-compatible crossbar arrays, enabling intelligent textiles to process signals from integrated electronics. A simple, cost-effective coating method for complex fiber surfaces with insufficient conductivity or difficult to withstand high pressure plays a key role in textile memristor tech. Here, a high-performance and reliable textile memristor fabricated from robust copper-tin oxide coated carbon fibers (CuSnO@C<sub>f</sub>) memristive fibers through a process involving two-stage selective electroless plating and subsequent thermal oxidation is reported. The surface coating of the memristive fiber includes a self-lopaded active electrode containing metal/intermetallic compounds (metal/IMCs), and a memristive functional layer (bimetallic amorphous oxide), which makes it exhibit a low set voltage (≈0.342 V), long retention time (>10<sup>4</sup> s) for multilevel storage (5 stages), high ON/OFF ratio (up to 6.58 × 10<sup>5</sup>), low energy consumption (34.5 pW), multi conductivity state (24), excellent synaptic plasticity, outstanding stability and durability. Besides, the textile memristor exhibits good repeatability and multi-level storage capability between devices, and can clearly recognize letters (H, V, O) through offline training and weight mapping. Highly compatible with intelligent textiles, the technology enables real-time diagnostics with accurate physiological data analysis. These advanced information processing capabilities will significantly advance intelligent textiles systems.

SmallVol. 21(34)
Central South University (CN)
Affordable and clean energy
Openalex Percentile: Top 12%
Advanced Memory and Neural Computing
2.19
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Memristive Fibers for Intelligent Textiles Information Storage and Processing in Multi‐Scenarios — Zizhao Ding, Zixiang Zhao, et al. · Small (2025) | TGRS Research Map | TGRS