4.8 Article

Unconstrained 3D Shape Programming with Light-Induced Stress Gradient

期刊

ADVANCED MATERIALS
卷 33, 期 42, 页码 -

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.202105194

关键词

3D shape programming; dynamic covalent bond; light-induced stress gradient; shape-memory material

资金

  1. National Natural Science Foundation of China [21734006]
  2. Foundation for Innovative Research Group of National Natural Science Foundation of China [21821001]

向作者/读者索取更多资源

The introduction of dynamic diselenide bonds into shape-memory materials allows for shape programming with light, simplifying programming setups and enabling the creation of complex 3D configurations and microscopic patterns. Light-induced stress gradients can achieve out-of-plane deformations and have great potential in various applications such as soft robots, smart actuators, and anti-counterfeiting techniques.
Programming 2D sheets to form 3D shapes is significant for flexible electronics, soft robots, and biomedical devices. Stress regulation is one of the most used methods, during which external force is usually needed to keep the stress, leading to complex processing setups. Here, by introducing dynamic diselenide bonds into shape-memory materials, unconstrained shape programming with light is achieved. The material could hold and release internal stress by themselves through the shape-memory effect, simplifying programming setups. The fixed stress could be relaxed by light to form stress gradients, leading to out-of-plane deformations through asymmetric contractions. Benefiting from the variability of light irradiation, complex 3D configurations can be obtained conveniently from 2D polymer sheets. Besides, remotely controlled 4D assembly and actuation, including object transportation and self-lifting, can be achieved by sequential deformation. Taking advantage of the high spatial resolution of light, this material can also produce 3D microscopic patterns. The light-induced stress gradients significantly simplify 3D shape programming procedures with improved resolution and complexity and have great potential in soft robots, smart actuators, and anti-counterfeiting techniques.

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