Flexible, large-area, recyclable, decoupled dual sensing of temperature and pressure enabled by mechanically-electrically hybrid networks

. The same constituent material and fabrication protocol of the MEHN nanocomposites, along with their scalability and recyclability, can afford low-cost, large-scale, and multiplexed e-skin for broad application opportunities, including human and battery health monitoring, soft electrical impedance tomography, and robotic perception.

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Publication Details

Journal
Nature Communications
Published
2026-04-13
DOI
https://doi.org/10.1038/s41467-026-71572-z
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
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article

Flexible, large-area, recyclable, decoupled dual sensing of temperature and pressure enabled by mechanically-electrically hybrid networks

Jian Yang, Huanyu Cheng, Jia Zhu, Zhenlong Huang et al.
Nature Communications
Advanced Sensor and Energy Harvesting Materials
article

Flexible, large-area, recyclable, decoupled dual sensing of temperature and pressure enabled by mechanically-electrically hybrid networks

Jian Yang, Huanyu Cheng, Jia Zhu, Zhenlong Huang, Jiaying Li, Min Gao, Yuan Lin, Yujiao Qin, Taisong Pan, Yang Xiao, Ying Chen, Haibin Liu, Xionghao Liu, Xin Mu
article en

Abstract

. The same constituent material and fabrication protocol of the MEHN nanocomposites, along with their scalability and recyclability, can afford low-cost, large-scale, and multiplexed e-skin for broad application opportunities, including human and battery health monitoring, soft electrical impedance tomography, and robotic perception.

Nature Communications
Pennsylvania State University (US), University of Electronic Science and Technology of China (CN), Westlake University (CN), Beijing University of Technology (CN), Quzhou University (CN)
Affordable and clean energy
Openalex Percentile: Top 21%
Advanced Sensor and Energy Harvesting Materials
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Flexible, large-area, recyclable, decoupled dual sensing of temperature and pressure enabled by mechanically-electrically hybrid networks — Jian Yang, Huanyu Cheng, et al. · Nature Communications (2026) | TGRS Research Map | TGRS