形状记忆聚合物
材料科学
微尺度化学
形状记忆合金
智能材料
纳米技术
聚合物
可穿戴计算机
自愈
变形(气象学)
可穿戴技术
机械工程
计算机科学
复合材料
嵌入式系统
工程类
数学教育
病理
替代医学
医学
数学
作者
Lan Luo,Fenghua Zhang,Linlin Wang,Yanju Liu,Jinsong Leng
标识
DOI:10.1002/adfm.202312036
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI