Bioinspired Ultrastretchable Aramid Triboelectric Aerogels for Intelligent Vehicle Seat
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| Natura: | Artículo Open Access |
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Wiley
2026
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| author | Mingchao Chi Zixi Lin Song Zhang Tao Liu Yanhua Liu Chenchen Cai Bin Luo Jinlong Wang Kang Yu Qiguan Luo Shuangfei Wang Shuangxi Nie |
| author_facet | Mingchao Chi Zixi Lin Song Zhang Tao Liu Yanhua Liu Chenchen Cai Bin Luo Jinlong Wang Kang Yu Qiguan Luo Shuangfei Wang Shuangxi Nie Mingchao Chi Zixi Lin Song Zhang Tao Liu Yanhua Liu Chenchen Cai Bin Luo Jinlong Wang Kang Yu Qiguan Luo Shuangfei Wang Shuangxi Nie |
| collection | Wiley Open Access |
| contents | Bioinspired Ultrastretchable Aramid Triboelectric Aerogels for Intelligent Vehicle Seat Mingchao Chi Zixi Lin Song Zhang Tao Liu Yanhua Liu Chenchen Cai Bin Luo Jinlong Wang Kang Yu Qiguan Luo Shuangfei Wang Shuangxi Nie Advanced Materials ABSTRACT Aerogels have demonstrated considerable potential in the field of flexible sensors owing to the tunability of porous architectures. The brittleness and low stretchability induced by high porosity remain key limitations restricting aerogel applications. Inspired by the orientation of muscle fibers, an ultrastretchable aramid triboelectric aerogel is developed by programmed ice crystal growth. The orientation fitting degree of the triboelectric aerogel reaches 98%, which is 2.6 times higher than that of conventional freeze‐casting methods. This ordered structure disperses tensile stresses during stretching, enabling the triboelectric aerogel to sustain an unprecedented 539% strain. Leveraging this aerogel, the triboelectric sensing array with vibration feedback was designed. Combined with deep learning algorithms, it achieved real‐time monitoring and vibration feedback alerts of driving behaviors within a single sensor interface for the first time. This study offers a promising strategy for intelligent driving systems to identify and mitigate unsafe driving behaviors. 10.1002/adma.73549 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| doi_str_mv | 10.1002/adma.73549 |
| format | Artículo Open Access |
| id | wiley_oa_10_1002_adma_73549 |
| institution | Wiley Open Access |
| license_str_mv | http://onlinelibrary.wiley.com/termsAndConditions#vor |
| publishDate | 2026 |
| publisher | Wiley |
| record_format | wiley_oa |
| spellingShingle | Bioinspired Ultrastretchable Aramid Triboelectric Aerogels for Intelligent Vehicle Seat Mingchao Chi Zixi Lin Song Zhang Tao Liu Yanhua Liu Chenchen Cai Bin Luo Jinlong Wang Kang Yu Qiguan Luo Shuangfei Wang Shuangxi Nie Advanced Materials Bioinspired Ultrastretchable Aramid Triboelectric Aerogels for Intelligent Vehicle Seat Mingchao Chi Zixi Lin Song Zhang Tao Liu Yanhua Liu Chenchen Cai Bin Luo Jinlong Wang Kang Yu Qiguan Luo Shuangfei Wang Shuangxi Nie Advanced Materials ABSTRACT Aerogels have demonstrated considerable potential in the field of flexible sensors owing to the tunability of porous architectures. The brittleness and low stretchability induced by high porosity remain key limitations restricting aerogel applications. Inspired by the orientation of muscle fibers, an ultrastretchable aramid triboelectric aerogel is developed by programmed ice crystal growth. The orientation fitting degree of the triboelectric aerogel reaches 98%, which is 2.6 times higher than that of conventional freeze‐casting methods. This ordered structure disperses tensile stresses during stretching, enabling the triboelectric aerogel to sustain an unprecedented 539% strain. Leveraging this aerogel, the triboelectric sensing array with vibration feedback was designed. Combined with deep learning algorithms, it achieved real‐time monitoring and vibration feedback alerts of driving behaviors within a single sensor interface for the first time. This study offers a promising strategy for intelligent driving systems to identify and mitigate unsafe driving behaviors. 10.1002/adma.73549 http://onlinelibrary.wiley.com/termsAndConditions#vor |
| title | Bioinspired Ultrastretchable Aramid Triboelectric Aerogels for Intelligent Vehicle Seat |
| topic | Advanced Materials |
| url | https://advanced.onlinelibrary.wiley.com/doi/10.1002/adma.73549 |