材料科学
消散
宽带
粘弹性
放松(心理学)
生物系统
神经形态工程学
电阻式触摸屏
纳米技术
相(物质)
可穿戴计算机
工作(物理)
高原(数学)
仿生学
能量(信号处理)
电极
解码方法
人工神经网络
计算机科学
分子动力学
弹性能
限制
传感器
电阻抗
统计物理学
电子工程
网络动力学
块(置换群论)
化学物理
声学
能量收集
作者
Liang Zhang,Sen Liu,Zheng Wang,Zhouyue Lei,Peiyi Wu
标识
DOI:10.1002/adma.202521208
摘要
ABSTRACT Achieving non‐invasive and high‐fidelity electrophysiological recording, particularly electroencephalography (EEG), on dynamic and irregular human skin remains a central challenge in soft bioelectronics, as materials rarely reconcile liquid‐like adaptability with solid‐like stability. Here, we overcome this limitation by designing a viscoelastic ionogel governed by a dynamic enthalpy‐entropy balance. Salt‐bridge hydrogen bonds form a low‐entropy and high‐interaction network, intrinsically limiting the capacity for entropic energy storage. This network then self‐organizes with a soft phase into a bicontinuous nanostructure. Acting as a mechanical parallel circuit, this architecture introduces a broad molecular relaxation spectrum, providing broadband enthalpic dissipation and realizing broadband enthalpy‐entropy compensation. Consequently, the ionogel exhibits a frequency‐independent viscoelastic plateau (G′≈G′′) spanning over nine orders of magnitude in frequency (10 −4 to 10 5 Hz) and a wide temperature range (−30°C to 40°C). The ionogel reduces skin‐electrode impedance by more than an order of magnitude compared to commercial electrodes and maintains high‐fidelity electrophysiological recordings during 72‐h continuous wear. Integrated with a deep learning framework, it enables high‐precision decoding of EEG signals, achieving 95% accuracy in classifying eight distinct emotional states. This work establishes a generalizable thermodynamic design principle for soft bioelectronic interfaces, offering broad potential for neural diagnostics, emotional monitoring, and wearable neuroprosthetics.
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