Antagonistic Effect Between Deformation and Magnetism in Liquid Metal Coils Smart Architecture for Multi‐Mode Sensing

Abstract Addressing the growing demand for advanced smart materials in complex operational environments, the Antagonistic Liquid Metal Architecture (ALMA), a novel system exhibiting sophisticated multi‐responsivity and robustness is introduced. ALMA uniquely integrates temperature‐induced deformation and magnetically modulated liquid metal coils within a PDMS@Fe matrix to achieve tunable inductance. By varying the Fe‐to‐PDMS weight ratio (WR), the temperature coefficient of inductance is precisely controlled from positive (0.032%/K) to negative (−0.052%/K), demonstrating exceptional linearity ( R 2 ≈ 0.999). Notably, at WR = 1.4, ALMA enables temperature‐insensitive pressure sensing, minimizing temperature‐induced inductance error to <0.01875%/K. This, combined with intrinsic resistance changes, facilitates decoupled pressure and temperature multimodal sensing. Furthermore, a biomimetic superhydrophobic surface (>150° contact angle) imparts remarkable environmental robustness, ensuring visible protection against acid‐induced corrosion. Long‐term monitoring confirms ALMA's reliability and sensitivity to subtle temperature variations. ALMA presents a versatile and robust smart material platform, promising significant advancements in flexible sensors for diverse applications including industrial monitoring, advanced robotics, and extreme environment exploration.

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Publication Details

Journal
Advanced Functional Materials
Published
2025-05-28
DOI
https://doi.org/10.1002/adfm.202507514
Citations
2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
1.35

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article

Antagonistic Effect Between Deformation and Magnetism in Liquid Metal Coils Smart Architecture for Multi‐Mode Sensing

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2 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
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article

Antagonistic Effect Between Deformation and Magnetism in Liquid Metal Coils Smart Architecture for Multi‐Mode Sensing

Minghui Guo, Fei Zhan, Nan Li, Jing Liu, Yuqing Li, Lei Wang, Jun Su, Xueqing Chen
article en
2 citations

Abstract

Abstract Addressing the growing demand for advanced smart materials in complex operational environments, the Antagonistic Liquid Metal Architecture (ALMA), a novel system exhibiting sophisticated multi‐responsivity and robustness is introduced. ALMA uniquely integrates temperature‐induced deformation and magnetically modulated liquid metal coils within a PDMS@Fe matrix to achieve tunable inductance. By varying the Fe‐to‐PDMS weight ratio (WR), the temperature coefficient of inductance is precisely controlled from positive (0.032%/K) to negative (−0.052%/K), demonstrating exceptional linearity ( R 2 ≈ 0.999). Notably, at WR = 1.4, ALMA enables temperature‐insensitive pressure sensing, minimizing temperature‐induced inductance error to <0.01875%/K. This, combined with intrinsic resistance changes, facilitates decoupled pressure and temperature multimodal sensing. Furthermore, a biomimetic superhydrophobic surface (>150° contact angle) imparts remarkable environmental robustness, ensuring visible protection against acid‐induced corrosion. Long‐term monitoring confirms ALMA's reliability and sensitivity to subtle temperature variations. ALMA presents a versatile and robust smart material platform, promising significant advancements in flexible sensors for diverse applications including industrial monitoring, advanced robotics, and extreme environment exploration.

Advanced Functional MaterialsVol. 35(46)
Chinese Academy of Sciences (CN), Beijing Forestry University (CN), Technical Institute of Physics and Chemistry (CN), University of Chinese Academy of Sciences (CN), Tsinghua University (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
1.35
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