Biomimetic Hollow Graphene Aerogel Fibers for Thermal Management and Flexible Smart Textiles
ABSTRACT Fiber‐based textiles capable of responding to external stimuli are crucial for flexible smart sensors and thermal management, yet they often lack the diverse functionalities required to simultaneously perceive electro‐thermo‐mechanical signals. In this study, polar‐bear‐hair bionic hollow graphene aerogel fibers (GAFs) were controllably fabricated via a scalable coaxial‐extrusion‐spinning process combined with a core‐component‐sacrificial method. Under promotion of shear stress in the outer channel, graphene oxide (GO) nanoplates self‐assemble into a hierarchically porous arch‐like microstructure. Precise regulation of the interfacial status and functional groups on reduced GO endow GAFs and the resulting smart textiles with tunable mechanical, electrical, and thermal properties. The low energy barrier and intense phonon scattering within the multiscale porous network result in the largest electrical conductivity (1457.09 S/m), record‐low thermal conductivity (1.28 mW/(m·K)) and remarkable elastic recovery (90% strain recovery) rather than those of most reported lightweight architectures. The flexible GAFs‐based textiles demonstrate multifunctional capabilities as sensitive wearable sensors based on either piezoresistive or thermoelectric effect, thermal barriers, and infrared stealth skins. This study provides a novel pathway for functional textiles of graphene aerogels in intelligent perception, self‐powered systems, fire alarming sensor, thermal management, and camouflage protection for both civilian and military applications.
Authors
- Yusheng Liang (ORCID: https://orcid.org/0000-0003-4337-2448)
- Junhong Liu (ORCID: https://orcid.org/0009-0000-3417-2212)
- Qiangqiang Zhang (ORCID: https://orcid.org/0000-0002-3683-4520)
- Jiaqi Dong (ORCID: https://orcid.org/0000-0002-6694-3453)
- Ningqi Shao
- Haiwei Fan (ORCID: https://orcid.org/0000-0003-0080-2700)
- P. He
- Lin Qiu
- Xin Wang
- Yongsheng Zhang
Institutions
- Chinese Academy of Sciences (CN)
- Lanzhou Institute of Chemical Physics (CN)
- Lanzhou University (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2026-02-21
- DOI
- https://doi.org/10.1002/adfm.74573
- Primary Topic
- Advanced Sensor and Energy Harvesting Materials
- Type
- article
- Field-Weighted Citation Impact
- 0.00