Guo Yubing, Shahsavan Hamed, Sitti Metin
Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569, Stuttgart, Germany.
Department of Chemical Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada.
Adv Mater. 2020 Sep;32(38):e2002753. doi: 10.1002/adma.202002753. Epub 2020 Aug 7.
The shape-shifting behavior of liquid crystal networks (LCNs) and elastomers (LCEs) is a result of an interplay between their initial geometrical shape and their molecular alignment. For years, reliance on either one-step in situ or two-step film processing techniques has limited the shape-change transformations from 2D to 3D geometries. The combination of various fabrication techniques, alignment methods, and chemical formulations developed in recent years has introduced new opportunities to achieve 3D-to-3D shape-transformations in large scales, albeit the precise control of local molecular alignment in microscale 3D constructs remains a challenge. Here, the voxel-by-voxel encoding of nematic alignment in 3D microstructures of LCNs produced by two-photon polymerization using high-resolution topographical features is demonstrated. 3D LCN microstructures (suspended films, coils, and rings) with designable 2D and 3D director fields with a resolution of 5 µm are achieved. Different shape transformations of LCN microstructures with the same geometry but dissimilar molecular alignments upon actuation are elicited. This strategy offers higher freedom in the shape-change programming of 3D LCN microstructures and expands their applicability in emerging technologies, such as small-scale soft robots and devices and responsive surfaces.
液晶网络(LCNs)和弹性体(LCEs)的形状变化行为是其初始几何形状与分子排列之间相互作用的结果。多年来,依赖于一步原位或两步薄膜加工技术限制了从二维到三维几何形状的形状变化转换。近年来开发的各种制造技术、排列方法和化学配方的结合带来了新的机遇,能够大规模实现三维到三维的形状转换,尽管在微观三维结构中精确控制局部分子排列仍然是一个挑战。在此,展示了利用高分辨率地形特征通过双光子聚合在LCNs的三维微结构中逐体素编码向列排列。实现了具有可设计的二维和三维指向矢场、分辨率为5微米的三维LCN微结构(悬浮膜、线圈和环)。在驱动时引发了具有相同几何形状但分子排列不同的LCN微结构的不同形状转换。该策略在三维LCN微结构的形状变化编程中提供了更高的自由度,并扩展了它们在新兴技术中的适用性,如小型软机器人和设备以及响应表面。