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Recent Advances in Shape Memory Polymers: Multifunctional Materials, Multiscale Structures, and Applications

Lan Luo, Fenghua Zhang, Linlin Wang, Yanju Liu, Jinsong Leng

Year
2023
Citations
233

Abstract

Abstract Shape memory polymers (SMPs) are one of the primary directions in the development of modern high‐tech new materials, which are integrated with sensing, actuation, information processing, and autonomous deformation. Here, multifunctional shape memory polymers are focused and a detailed introduction to the characteristics of self‐deformation, self‐sensing, self‐healing, and self‐learning is provided. Integrating with other functional materials to form shape memory polymer composites (SMPC), designing and controlling the material structure and organization at the microscale, thereby achieving more precise and controllable shape memory effects and expanding the potential of material applications. Ultimately, it is shown that SMPs and their composites have a wide range of fascinating applications in the fields of robotics, smart clothing, smart textiles, biomedical devices, and wearable technology. SMPs will thus continue to play a significant role in future deeper exploration.

Keywords

Shape-memory polymerMaterials scienceMicroscale chemistryShape-memory alloySmart materialNanotechnologySelf-healingPolymerWearable computerWearable technology

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