Strain-programmable liquid metal fibers for anti-interference electronic textiles

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Authors: Xiangyang Qu, Wenshang Guo, Zixuan Zhu, Si Chen, Shiyang Tang, Yiliang Lin
Cited by: 6
References: 40

Abstract

Strain-induced signal interference is a critical challenge limiting the reliability and functionality of electronic textiles in real-world, deformable environments. Mechanical deformation during motion or wear can distort signal fidelity, compromise sensing accuracy, and disrupt energy or data transmission—hindering the advancement of smart, adaptive wearables. Here, we introduce a strain-programmable fiber platform that turns mechanical strain from a liability into a tunable design feature. By embedding liquid metal (LM) particles within a polyurethane elastomer via coaxial wet spinning, we create composite fibers whose electromechanical responses can be precisely programmed—through pre-strain and composition—to exhibit negative, hybrid, or positive strain–resistance behaviors. This tunability arises from strain-induced LM particle reconfiguration, driven by a balance of geometric deformation and conductive network evolution, and captured through a hybrid parallel–series model. Leveraging this functionality, we demonstrate bidirectional strain sensors with polarity-based digital encoding and strain-invariant circuits for robust energy harvesting, wireless communication and thermal management. This programmable approach offers a scalable, material-level solution to strain interference, enabling high-performance, multifunctional e-textiles for next-generation wearable electronics. Strain-induced signal interference limits the reliability and functionality of electronic textiles in deformable environments. Here, the authors present a strain-programmable fiber with tunable resistance responses via a controlled liquid-metal network reconfiguration for anti-interference electronic textiles.

Fields of Study & Subjects

Advanced Sensor and Energy Harvesting Materials Nanomaterials and Printing Technologies Photonic Crystal and Fiber Optics

Publication details

Journal / source
Nature Communications
Publisher
Springer Science and Business Media LLC
Volume
17
Issue
1
Publication date
7 April 2026
Language
EN