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Ultralow-Loading Multilayer Liquid Metal Conductors with Leakage Immunity and Uncompromised Electro-Mechanical Performance

  • Junyao Guan
  • , Yangyang Xu
  • , Jialin Wang
  • , Weihong Zhu
  • , Yuli Song
  • , Kaili Li
  • , Yun Xia
  • , Kai Chen
  • , Ting Zhu
  • , Long Jiang
  • , Qing Song
  • , Yu Wang
  • , Yuping Ou
  • , Dezhen Xue
  • , Kai Wu
  • , Sen Yang
  • , Gang Liu
  • , Jun Sun
  • State Key Laboratory for Mechanical Behavior of Materials
  • Xi'an Jiaotong University
  • MOE Key Laboratory for Nonequilibrium Synthesis and Modulation of Condensed Matter
  • School of Physics
  • Department of Obstetrics and Gynecology
  • The First Affiliated Hospital of Xi’an Jiaotong University
  • Department of Ultrasound
  • Chenzhou First People's Hospital
  • State Key Laboratory for Performance and Structure Safety of Petroleum Tubular Goods and Equipment Materials
  • CNPC Tubular Goods Research Institute

Research output: Contribution to journal › Article › peer-review

Abstract

Liquid-metal (LM)-based stretchable conductors are promising for soft electronics, yet their practical use is limited by high material costs and susceptibility to leakage. Here, we report a multilayer architecture comprising a top Cu layer, a Cu-SEBS hybrid layer, a Cu-GaCu2-SEBS-LM composite layer, and a micron-scale SEBS layer, which decouples mechanical strain from electrical conduction. This design couples strain-induced microcracked Cu films with strain-isolated out-of-plane and in-plane conductive pathways, eliminating strain-dependent resistance variations. Remarkably, the conductor achieves strain-invariant high conductivity (on the order of 107 S m-1) over 0-920% strain with an ultralow LM loading of only 5 vol %. Critically, it exhibits exceptional leakage resistance across the entire stretching range, addressing a longstanding challenge in LM-based electronics. As a proof of concept, we demonstrate its applicability as stretchable electrodes for real-time physiological signal monitoring and machine-learning-assisted gesture recognition, highlighting its potential for next-generation wearable bioelectronics.

Original languageEnglish
Pages (from-to)11042-11052
Number of pages11
JournalNano letters
Volume26
Issue number33
DOIs
StatePublished - 26 Aug 2026

Keywords

  • High conductivity
  • Liquid metal
  • Multilayer architectures
  • No leakage
  • Ultralow loading

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