Abstract
Thin, conformable electronic skin (e-skin), capable of accurately perceiving various stimuli (e.g., temperature and pressure), is an important building block for various cutting-edge applications, including human healthcare, structural health monitoring, human-machine interfaces, and closed-loop device systems. However, crosstalk from multiple input signals severely deteriorates the sensing accuracy of the measured temperature and pressure. Moreover, different constituent materials and fabrication protocols utilized for flexible sensors hinder their integration towards multifunctional e-skin. Here, this work introduces mechanically and electrically hybrid networks (MEHNs) in functional nanocomposites for large-area, multiplexed, and decoupled sensing. The rigid, high-resistive vanadium oxide (VO2) microparticles with metal-insulator transition combined with soft, low-resistive liquid metal particles (LMPs) in MEHNs serve as temperature sensing units and mechanical buffers, respectively, leading to an ultra-high yet pressure-insensitive temperature coefficient of resistance (TCR) of −2.23%. Modifying VO2 microparticles with silver nanoparticles to cancel the high TCR is combined with a porous structure to render the nanocomposite with temperature-insensitive pressure sensing with a sensitivity of 1.212% kPa−1. 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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The data generated in this study are provided in the Source Data file. All data are available from the corresponding author upon request. Source data are provided with this paper.
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Acknowledgements
This work is supported by the Fundamental and Interdisciplinary Disciplines Breakthrough Plan of the Ministry of Education of China under grant No. JYB2025XDXM406, and the Natural Science Foundation of China under grant Nos. 62427806 and 62301116. H.C. acknowledges the support provided by NIH (Award No. R21EB030140), NSF (Grant Nos. 2309323, 2243979, 2319139, and 2222654), and Penn State University.
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J.Z., H.C., and J.L. conceptualized the study. J.Z., Y.C., H.L., Y.H.C., J.Y., H.C., and Y.L. developed the methodology. X.L., J.L., and Y.Q. performed the primary experiments and conducted data analysis and curation. Y.X. and X.M. assisted with the experiments. J.Z., Y.C., H.L., H.C., and Y.L. drafted the manuscript. Z.H., M.G., T.P., J.Y., H.C., and Y.L. reviewed the manuscript and provided critical revisions. J.Z. and Y.L. acquired funding and supervised the project. All authors discussed the results and approved the final version of the manuscript.
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Zhu, J., Liu, X., Li, J. et al. Flexible, large-area, recyclable, decoupled dual sensing of temperature and pressure enabled by mechanically-electrically hybrid networks. Nat Commun (2026). https://doi.org/10.1038/s41467-026-71572-z
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DOI: https://doi.org/10.1038/s41467-026-71572-z


