A BiOI/TiO <sub>2</sub> heterogeneous interface-based fiber memristor for intelligent textile system and high-precision hand gestures recognition

Textile memristor is the decision-making center of a bionic neuromorphic intelligent textile system and presents a promising opportunity for the incorporation of intricate information processing components within the architecture of flexible electronic textiles. This architecture, characterized by its cross-bar configuration and adaptability, positions textile memristors as a highly promising avenue for the future advancement of wearable electronic devices. Here, carbon fiber is chosen as electrode, and the memristor functional layer is made up of a high-performance and reliable BiOI/TiO<sub>2</sub> heterogeneous interface synthesized hydrothermally. The textile memristor exhibits an average set voltage of ≈ 0.78 V, set voltage deviation of 12.3%, long retention time (&gt; 10<sup>4</sup> s), and high on/off ratio (&gt; 10<sup>5</sup>). Simultaneously, the observed self-rectification, room-temperature negative differential resistance (NDR) effect, and biological synaptic phenomenon offer the possibility of further neuromorphic applications. Subsequently, the pressure sensor was integrated onto the textile memristor to construct an intelligent textile system. Especially through self built datasets and neural network calculations, the gesture recognition rate of the system reached 98.5%, maintaining a high level under the influence of 20% Gaussian noise (64%). This textile memristor arrays supply great memristive performance, steady device distribution, and good mechanical strength, indicating a reliable direction for the next generation of integrated textile electrical systems.

Authors

Institutions

Publication Details

Journal
Nano Research
Published
2025-03-14
DOI
https://doi.org/10.26599/nr.2025.94907367
Citations
2
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
1.46
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A BiOI/TiO 2 heterogeneous interface-based fiber memristor for intelligent textile system and high-precision hand gestures recognition

Zizhao Ding, Zixiang Zhao, Shenglong Huang, Yusuf Abdullahi Hassan et al.
2 citations
Nano Research
Advanced Memory and Neural Computing
1.46
article

A BiOI/TiO 2 heterogeneous interface-based fiber memristor for intelligent textile system and high-precision hand gestures recognition

Zizhao Ding, Zixiang Zhao, Shenglong Huang, Yusuf Abdullahi Hassan, Yantao Yu, Yuh‐Jen Cheng, Chao Jiang, Dou Zhang, Chen Zhao
article en
2 citations

Abstract

Textile memristor is the decision-making center of a bionic neuromorphic intelligent textile system and presents a promising opportunity for the incorporation of intricate information processing components within the architecture of flexible electronic textiles. This architecture, characterized by its cross-bar configuration and adaptability, positions textile memristors as a highly promising avenue for the future advancement of wearable electronic devices. Here, carbon fiber is chosen as electrode, and the memristor functional layer is made up of a high-performance and reliable BiOI/TiO<sub>2</sub> heterogeneous interface synthesized hydrothermally. The textile memristor exhibits an average set voltage of ≈ 0.78 V, set voltage deviation of 12.3%, long retention time (&gt; 10<sup>4</sup> s), and high on/off ratio (&gt; 10<sup>5</sup>). Simultaneously, the observed self-rectification, room-temperature negative differential resistance (NDR) effect, and biological synaptic phenomenon offer the possibility of further neuromorphic applications. Subsequently, the pressure sensor was integrated onto the textile memristor to construct an intelligent textile system. Especially through self built datasets and neural network calculations, the gesture recognition rate of the system reached 98.5%, maintaining a high level under the influence of 20% Gaussian noise (64%). This textile memristor arrays supply great memristive performance, steady device distribution, and good mechanical strength, indicating a reliable direction for the next generation of integrated textile electrical systems.

Nano ResearchVol. 18(5)
Shenzhen University (CN), Powder Metallurgy Institute (BY), Luoyang Normal University (CN), University of Guyana (GY)
Openalex Percentile: Top 19%
Advanced Memory and Neural Computing
1.46
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.