Accessing Multi‐Material Liquid Crystal Elastomers Via Digitally Programmable Network Topologies
Yi Sheng, Xiaorui Zhou, Jiacheng Huang, Zhu Zhan, Yufei Wang, Zizheng Fang, Jingjun Wu, Tao Xie, Ning Zheng
- 发表年份
- 2025
- 引用次数
- 6
- 访问权限
- 开放获取
摘要
Biological systems achieve functional complexity through spatially organized material heterogeneity, a principle that holds great promise for soft robotics. Liquid crystal elastomers (LCEs) are ideal candidates for soft robotic materials, yet their performance is limited by the challenge of achieving precise spatial control over material properties. Here, a digital programming strategy is introduced that enables multi-material integration in LCEs via controlled network topology design. The method leverages sequential orthogonal reactions triggered by light irradiation and thermal curing, allowing for programmable network topologies. By spatially and temporally regulating the curing process using digital light patterning, both discrete localized and gradient topological variations are achieved, resulting in heterogeneous phase transition temperatures, actuation responses, and optical properties within a single LCE material. This programmable topology strategy for multi-material integration would significantly expand the design possibilities for LCE-based actuators, paving the way for advanced soft robotic material systems.
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