期刊
ADVANCED MATERIALS
卷 30, 期 49, 页码 -出版社
WILEY-V C H VERLAG GMBH
DOI: 10.1002/adma.201803072
关键词
femtosecond lasers; polymer self-growth; reconfigurable architectures; shape-memory polymers; shape transformation
类别
资金
- National Science Foundation of China [51875544, 61475149, 51675503, 61805230, 51805508, 51805509]
- Fundamental Research Funds for the Central Universities [WK 2090090012, WK2480000002, WK2090090021]
- Youth Innovation Promotion Association CAS [2017495]
- National Key R&D Program of China [2018YFB1105400]
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 micro-scale 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.
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