材料科学
网络拓扑
弹性体
过程(计算)
拓扑(电路)
液晶
计算机科学
拓扑优化
可扩展性
控制系统
空间光调制器
缩小
纳米技术
固化(化学)
过程控制
热的
互连
平面的
软机器人
光子学
过程集成
计算机数据存储
现场可编程门阵列
数字光处理
灵活性(工程)
作者
Yi Sheng,Xiaorui Zhou,Hanyuan Bao,Jiacheng Huang,Zhu Zhan,Yufei Wang,Zizheng Fang,Jingjun Wu,Tao Xie,Ning Zheng
标识
DOI:10.1002/adma.202507324
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.
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