材料科学
磁性
变形(气象学)
智能材料
模式(计算机接口)
金属
凝聚态物理
纳米技术
复合材料
冶金
人机交互
计算机科学
物理
作者
Nan Li,Fei Zhan,Jun Su,Yuqing Li,Xueqing Chen,Minghui Guo,Lei Wang,Jing Liu
标识
DOI:10.1002/adfm.202507514
摘要
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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