Liquid Metal Elastomer Resonant Sensors for Frequency-Domain Distributed Strain Sensing

Abstract Traditional sensor arrays face the trade-off dilemma between distribution density and circuit complexity, while strain sensors suffer from weak circuit stability under flexible deformation. Here, we propose a liquid metal elastomer resonant (LMER) sensor for frequency-domain distributed strain sensing, which employs liquid metal elastomers as the sensing elements and an RLC series circuit as the core component. The sensor enhances frequency selectivity and resonance-response stability by precisely regulating inductance and capacitance parameters, enabling stable and distinguishable resonant-frequency shifts under flexible deformation and thereby achieving efficient conversion from mechanical strain to frequency-domain signals. Experimental results demonstrate that the three LMER sensing units exhibit highly linear resonant-frequency-shift responses (R2 > 0.99) within the core compressive strain range of 0–30%, along with low rate dependence (<0.5%) and excellent long-term cyclic reliability, with frequency-response attenuation below 1% after 10,000 cycles. Furthermore, a distributed sensing system is constructed based on the parallel integration of LMER sensors with distinct resonant-frequency windows, enabling spatially distributed strain responses to be discriminated in the frequency domain through a shared signal line. This work establishes a frequency-domain distributed strain-sensing strategy based on LMER sensors, offering a compact and stable route for distributed flexible sensing in applications such as human–computer interaction, soft robotics, and wearable devices.

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Publication Details

Journal
ACS Applied Electronic Materials
Published
2026-09-15
DOI
https://doi.org/10.1021/acsaelm.6c01383
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
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Liquid Metal Elastomer Resonant Sensors for Frequency-Domain Distributed Strain Sensing

Yuheng Kuang, Dongguang Zhang, Yali Wu, Penghui Sun et al.
ACS Applied Electronic Materials
Advanced Sensor and Energy Harvesting Materials
article

Liquid Metal Elastomer Resonant Sensors for Frequency-Domain Distributed Strain Sensing

Yuheng Kuang, Dongguang Zhang, Yali Wu, Penghui Sun, Xv Kang
article en

Abstract

Abstract Traditional sensor arrays face the trade-off dilemma between distribution density and circuit complexity, while strain sensors suffer from weak circuit stability under flexible deformation. Here, we propose a liquid metal elastomer resonant (LMER) sensor for frequency-domain distributed strain sensing, which employs liquid metal elastomers as the sensing elements and an RLC series circuit as the core component. The sensor enhances frequency selectivity and resonance-response stability by precisely regulating inductance and capacitance parameters, enabling stable and distinguishable resonant-frequency shifts under flexible deformation and thereby achieving efficient conversion from mechanical strain to frequency-domain signals. Experimental results demonstrate that the three LMER sensing units exhibit highly linear resonant-frequency-shift responses (R2 > 0.99) within the core compressive strain range of 0–30%, along with low rate dependence (<0.5%) and excellent long-term cyclic reliability, with frequency-response attenuation below 1% after 10,000 cycles. Furthermore, a distributed sensing system is constructed based on the parallel integration of LMER sensors with distinct resonant-frequency windows, enabling spatially distributed strain responses to be discriminated in the frequency domain through a shared signal line. This work establishes a frequency-domain distributed strain-sensing strategy based on LMER sensors, offering a compact and stable route for distributed flexible sensing in applications such as human–computer interaction, soft robotics, and wearable devices.

ACS Applied Electronic Materials
Beijing Microelectronics Technology Institute (CN), Intelligent Health (United Kingdom) (GB), NAURA (China) (CN), Taiyuan University of Science and Technology (CN), Taiyuan University of Technology (CN)
Reduced inequalities
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
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