Cocrystal effect-driven ultrafast phase-transition ionogel for dynamically switchable adhesion interfaces
Yan Zheng, Zhikai Dong, Shaochuan Luo, Qi Jin, Yichen Ding, Xiaoliang Wang, Dongshan Zhou, Shuangjun Chen
- 发表年份
- 2025
- 引用次数
- 2
- 访问权限
- 开放获取
摘要
Smart adhesion materials are paramount to the construction of dynamic adhesion interfaces in domains such as flexible electronics, soft robotics, and precision manufacturing. Research focuses on resolving the inherent contradiction between material adhesion and switchability. Herein, we report a poly(ionic liquid)/ionic liquid cocrystal ionogel that combines the advantages of polymer and small-molecule phase transitions, enabling rapid and repeated switching between strong-weak adhesion states while simultaneously converting adhesion changes into electrical signal feedback to the external environment. The study shows that the long alkyl chains in the two components form a cocrystal structure, with the crystallization-melting temperature precisely controlled by the alkyl chain length (−10 to 60 °C). The ultrafast phase transition (t1/2 < 1 ms) of the ionogels leads to significant changes in the viscoelastic/electrical behavior, thereby inducing switching in adhesion (peel strength >1000 N/m, switching ratio >120) and electrical properties (switching ratio: 10²−10³). Based on the adhesion-electrical coupling effect, we design a dual-mode smart capture patch with dynamically feedback-regulated adhesion to enable objects’ free pickup and release. This work provides a pathway for designing smart adhesive materials for dynamic adhesion interfaces. Smart adhesives are broadly applicable, but it is challenging to balance adhesion strength and reversibility. Here the author report a poly(ionic liquid)-ionic liquid cocrystal ionogel, enabling switchable adhesive material.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992