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