材料科学
解耦(概率)
磁滞
热的
模数
智能材料
离子键合
相(物质)
导电体
热敏电阻器
聚合
纳米技术
热涨落
计算机科学
二进制数
信号(编程语言)
纳米传感器
生物系统
相变
弹性模量
相图
变形(气象学)
纳米片
高分辨率
光电子学
动态力学分析
软物质
杨氏模量
复合材料
作者
Kunkun Yang,Zixuan Wu,Yankang Xu,Chen Xianjie,Liu Y,Jiaming Huang,Jiahao Zhu,Kaijie Hu,Chuang Li,Shaohang Xiong,Jinxiu Wen,Xiufeng Tang,Yunfeng Zhan,J I A H U I Wu,Jianyi Luo
出处
期刊:Nano Letters
[American Chemical Society]
日期:2026-05-20
标识
DOI:10.1021/acs.nanolett.6c01468
摘要
Simultaneous sensing of mechanical and thermal stimuli in soft ionotronics remains a challenge because ionic conductors couple thermal activation and mechanical deformation through shared transport pathways. Here, we report an ionogel platform achieving signal decoupling through a materials-to-architecture modulus programming. Polymerizing poly(acrylic acid) (PAA) inside hydrophilic-hydrophobic binary ionic liquids triggers solubility-driven phase separation, modulating the modulus from ∼10 kPa to ∼10 MPa. Architecturally, we engineered an alternating Hard-Soft-Hard ionogel array where interpenetrating PAA networks polymerize across the units to form chemically bonded interfaces without secondary bonding. The PAA-rich hard domains act as strain-invariant thermistors (local strain <0.04%), delivering 0.01 °C temperature resolution and negligible hysteresis (1.64%). Simultaneously, the soft domains function as linear strain and directional sensors. Integrating this platform with AI algorithms enables smart monitoring during fitness routines. Leveraging phase separation for functional partitioning offers a novel perspective on simplifying multimodal sensor design.
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