Phase transition and mechanochemistry enabled lightweight liquid metal skeleton for multifunctional conductive composites
Jianan Lu, Biao Ma, Gangsheng Chen, Yi Chen, Yakun Gao, Yanjie Chen, Haoran Deng, Bo Lü, Hong Liu
- 发表年份
- 2025
- 引用次数
- 1
- 访问权限
- 开放获取
摘要
Stretchable conductive composites show promising applications ranging from wearable electronics to soft robotics. Gallium-based liquid metals (LMs) characterized by both high metallic conductivity and fluidity are ideal deformable fillers for stretchable conductive composites. However, high loading of LM and post-sintering are required to create conductive pathways, leading to high metal consumption, high density of composites, and increased fabrication complexity. Herein, we report a phase transition and mechanochemistry-enabled lightweight three-dimensional LM skeleton with a low density of 0.2 g/cm3 using a salt sacrificial template strategy. The initially conductive skeleton allows the capillary filling of various polymer precursors for sintering-free and on-demand formation of various functional composites. The resulting LM-Ecoflex composite exhibits low metal loading (3.7 vol%), high conductivity (1.3 × 103 S/m) and stretchability (774% strain), and good durability (ΔR = 1.2% over 10,000 cycles at 100% strain). Moreover, we show the monolithic fabrication of soft robotic actuators, which can be achieved by integrating the LM skeleton with thermally responsive polymers. We also demonstrate potential applications of LM-Ecoflex composites in enhanced electromagnetic shielding and heat transfer. This work provides a versatile way to on-demand create lightweight and multifunctional LM-based soft devices. A phase transition and mechanochemistry-enabled lightweight three-dimensional liquid metal (LM) skeleton is created using a salt sacrificial template strategy. The initially conductive skeleton allows the capillary filling of various polymer precursors for the sintering-free and on-demand formation of various functional composites. Such lightweight and conductive LM composites have advantages in robotic actuators, electromagnetic shielding, and thermal management.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991