材料科学
压阻效应
解耦(概率)
导电体
灵敏度(控制系统)
纳米技术
压力传感器
多孔性
热导率
热电效应
联轴节(管道)
光电子学
信号(编程语言)
热的
生物传感器
碳纳米管
工作(物理)
极限(数学)
感觉系统
传感器融合
热传导
环境压力
耐久性
纳米复合材料
融合
人工神经网络
作者
Jiachen Dong,Bo Xu,Hongyu Mi,Xin Zhao,Yuqing Zhai,Yongqi Zhu,Zhiyu Wang,Yue Zhang
摘要
ABSTRACT Precise and crosstalk‐free discrimination of pressure and temperature remains a fundamental challenge in artificial sensory systems due to the intrinsic coupling of mechanical and thermal transduction. Herein, we present a flexible, high‐fidelity dual‐modal sensor based on an ultralight hierarchically porous conductive sponge. The engineered porous architecture synergistically integrates piezoresistive and thermoelectric effects within a single carbon nanomaterial, achieving physical decoupling between resistance‐type pressure signals and voltage‐type temperature outputs, effectively suppressing dual‐modal interference. Owing to its compressibility, conductive network, and thermal insulation, the sensor delivers a pressure sensitivity of 4.43 kPa −1 , a detection limit of 25 Pa, a response time of 91 ms, and durability over 20 000 cycles, alongside a Seebeck coefficient of 9.96 µV K −1 and a temperature resolution of 0.5 K. As a proof of concept, it enables real‐time Morse code communication and physiological monitoring. Moreover, a 3 × 3 sensor array integrated with machine learning demonstrates robust tactile‐thermal fusion perception, highlighting its potential as a multifunctional sensing platform. This work presents a material‐driven strategy to overcome multimodal signal interference, significantly promoting sensory perception in complex environments.
科研通智能强力驱动
Strongly Powered by AbleSci AI