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.
Authors
- Xin Zhao (ORCID: https://orcid.org/0000-0002-1317-7257)
- Hongyu Mi (ORCID: https://orcid.org/0000-0002-4428-5269)
- Zhiyu Wang (ORCID: https://orcid.org/0000-0002-2739-9889)
- Bo Xu (ORCID: https://orcid.org/0000-0002-1120-3423)
- Yongqi Zhu (ORCID: https://orcid.org/0009-0002-9170-7310)
- Jiachen Dong (ORCID: https://orcid.org/0000-0001-5933-4556)
- Yue Zhang (ORCID: https://orcid.org/0000-0001-7772-3280)
- Yuqing Zhai
Institutions
- Xiamen University (CN)
- Xiamen University of Technology (CN)
- Xinjiang University (CN)
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
Funders
- Xinjiang Medical University