Decoupled Temperature‐Pressure Sensing via Hierarchical Porous Sponge for Thermo‐Tactile Perception

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.

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Publication Details

Journal
Advanced Functional Materials
Published
2026-09-12
DOI
https://doi.org/10.1002/adfm.78367
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Decoupled Temperature‐Pressure Sensing via Hierarchical Porous Sponge for Thermo‐Tactile Perception

Xin Zhao, Hongyu Mi, Zhiyu Wang, Bo Xu et al.
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
article

Decoupled Temperature‐Pressure Sensing via Hierarchical Porous Sponge for Thermo‐Tactile Perception

Xin Zhao, Hongyu Mi, Zhiyu Wang, Bo Xu, Yongqi Zhu, Jiachen Dong, Yue Zhang, Yuqing Zhai
article en

Abstract

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.

Advanced Functional Materials
Xiamen University (CN), Xiamen University of Technology (CN), Xinjiang University (CN)
Xinjiang Medical University
Peace, Justice and strong institutions
Openalex Percentile: Top 20%
Advanced Sensor and Energy Harvesting Materials
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