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Localized Self‐Growth of Reconfigurable Architectures Induced by a Femtosecond Laser on a Shape‐Memory Polymer
Advanced Materials ( IF 27.4 ) Pub Date : 2018-09-27 , DOI: 10.1002/adma.201803072 Yachao Zhang 1 , Ying Li 2 , Yanlei Hu 1 , Xuelin Zhu 3 , Yaowei Huang 2, 4 , Zhen Zhang 1 , Shenglong Rao 1 , Zhijiang Hu 1 , Weixin Qiu 1 , Yulong Wang 1 , Guoqiang Li 1, 5 , Liang Yang 1 , Jiawen Li 1 , Dong Wu 1 , Wenhao Huang 1 , Chengwei Qiu 2 , Jiaru Chu 1
Advanced Materials ( IF 27.4 ) Pub Date : 2018-09-27 , DOI: 10.1002/adma.201803072 Yachao Zhang 1 , Ying Li 2 , Yanlei Hu 1 , Xuelin Zhu 3 , Yaowei Huang 2, 4 , Zhen Zhang 1 , Shenglong Rao 1 , Zhijiang Hu 1 , Weixin Qiu 1 , Yulong Wang 1 , Guoqiang Li 1, 5 , Liang Yang 1 , Jiawen Li 1 , Dong Wu 1 , Wenhao Huang 1 , Chengwei Qiu 2 , Jiaru Chu 1
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Architectures of natural organisms especially plants largely determine their response to varying external conditions. Nature‐inspired shape transformation of artificial materials has motivated academic research for decades due to wide applications in smart textiles, actuators, soft robotics, and drug delivery. A “self‐growth” method of controlling femtosecond laser scanning on the surface of a prestretched shape‐memory polymer to realize microscale localized reconfigurable architectures transformation is introduced. It is discovered that microstructures can grow out of the original surface by intentional control of localized laser heating and ablation, and resultant structures can be further tuned by adopting an asymmetric laser scanning strategy. A distinguished paradigm of reconfigurable architectures is demonstrated by combining the flexible and programmable laser technique with a smart shape‐memory polymer. Proof‐of‐concept experiments are performed respectively in information encryption/decryption, and microtarget capturing/release. The findings reveal new capacities of architectures with smart surfaces in various interdisciplinary fields including anti‐counterfeiting, microstructure printing, and ultrasensitive detection.
中文翻译：
飞秒激光在形状记忆聚合物上诱导的可重构体系结构的局部自增长
天然生物尤其是植物的建筑在很大程度上决定了它们对变化的外部条件的反应。数十年来，由于在智能纺织品，执行器，软机器人和药物输送中的广泛应用，人造材料的形状启发了学术研究。介绍了一种控制飞秒激光扫描预拉伸形状记忆聚合物表面以实现微型局部可重构体系结构转换的“自增长”方法。发现通过有意控制局部激光加热和烧蚀可以使微结构从原始表面中生长出来，并且可以通过采用非对称激光扫描策略来进一步调整所得结构。通过将灵活的可编程激光技术与智能形状记忆聚合物相结合，展示了一种可重构架构的杰出范例。概念验证实验分别在信息加密/解密和微目标捕获/释放中进行。研究结果揭示了具有跨领域智能表面的建筑的新功能，包括防伪，微结构印刷和超灵敏检测。
更新日期：2018-09-27
中文翻译：
飞秒激光在形状记忆聚合物上诱导的可重构体系结构的局部自增长
天然生物尤其是植物的建筑在很大程度上决定了它们对变化的外部条件的反应。数十年来，由于在智能纺织品，执行器，软机器人和药物输送中的广泛应用，人造材料的形状启发了学术研究。介绍了一种控制飞秒激光扫描预拉伸形状记忆聚合物表面以实现微型局部可重构体系结构转换的“自增长”方法。发现通过有意控制局部激光加热和烧蚀可以使微结构从原始表面中生长出来，并且可以通过采用非对称激光扫描策略来进一步调整所得结构。通过将灵活的可编程激光技术与智能形状记忆聚合物相结合，展示了一种可重构架构的杰出范例。概念验证实验分别在信息加密/解密和微目标捕获/释放中进行。研究结果揭示了具有跨领域智能表面的建筑的新功能，包括防伪，微结构印刷和超灵敏检测。
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