Harnessing Wrinkling Patterns Using Shape Memory Polymer Microparticles
Source abstract
Abstract
Shape memory polymers (SMPs) are the simplest and most attractive alternatives for soft substrates of typical bilayer wrinkle systems because of shape fixity and recovery capabilities. Herein, we have successfully programmed large compressive strains in chemical cross-linking shape memory polystyrene (PS) microparticles via nanoimprint lithography, which acted as the substrate of a wrinkle system using a gold nanoparticle (Au NP) film as the top layer. When triggered by two different stimuli (direct heating and toluene vapors), the thin Au NP film could transform into various wrinkle structures atop the recovered PS particles. In addition, we also investigated the evolution mechanisms of wrinkling by heating and toluene vapors and tuned the wrinkled surfaces through altering the Au NP thickness and stimulation methods (direct heating and toluene vapors), which utilized the structural adjustability of Au NPs to program the amplitude, wavelength, and morphology of the wrinkles. The concept presented here provides a cost-effective approach to realize the surface wrinkling and can be extended to other available SMPs.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Advanced Materials and Mechanics · Polymer composites and self-healing · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Centre for Composite Materials and Structures, Harbin Institute of Technology (HIT), No. 2 YiKuang Street, P.O. Box 3011, Harbin 150080, PR China
Key Laboratory of Eco-Textiles, Ministry of Education, Jiangnan University, Wuxi 214122, PR China
Department of Astronautical Science and Mechanics, Harbin Institute of Technology (HIT), Harbin 150001, PR China
Funding
Fundamental Research Funds for the Central Universities · Innovation/Entrepreneurship Program of Jiangsu Province · Chinese Scholarship Council
References (39)
Show source-provided references
1. 10.1038/3019310.1038/30193 ↗
2. 10.1038/nmat117510.1038/nmat1175 ↗
3. 10.1038/nmat134210.1038/nmat1342 ↗
4. 10.1021/am900056210.1021/am9000562 ↗
5. 10.1002/adfm.20080106510.1002/adfm.200801065 ↗
6. 10.1002/adfm.20100003410.1002/adfm.201000034 ↗
7. 10.1002/adma.20080320910.1002/adma.200803209 ↗
8. 10.1002/adma.20100175910.1002/adma.201001759 ↗
9. 10.1039/c0sm00374c10.1039/c0sm00374c ↗
10. 10.1021/ma301143m10.1021/ma301143m ↗
11. 10.1063/1.329874010.1063/1.3298740 ↗
12. 10.1038/nphoton.2010.710.1038/nphoton.2010.7 ↗
13. 10.1002/adma.20070153010.1002/adma.200701530 ↗
14. 10.1126/science.112140110.1126/science.1121401 ↗
15. 10.1039/b814145b10.1039/b814145b ↗
16. 10.1002/smll.20090160410.1002/smll.200901604 ↗
17. 10.1002/smll.20090160410.1002/smll.200901604 ↗
18. 10.1002/smll.20100086310.1002/smll.201000863 ↗
19. 10.1039/c0sc00132e10.1039/c0sc00132e ↗
20. 10.1016/j.jcis.2011.11.07510.1016/j.jcis.2011.11.075 ↗
21. 10.1039/c3lc50588j10.1039/c3lc50588j ↗
22. 10.1021/nn405939w10.1021/nn405939w ↗
23. 10.1021/acsami.7b1762210.1021/acsami.7b17622 ↗
24. 10.1126/science.114461610.1126/science.1144616 ↗
25. 10.1021/acsnano.6b0458410.1021/acsnano.6b04584 ↗
26. 10.1038/nature0886310.1038/nature08863 ↗
27. 10.1039/C5TA08513F10.1039/C5TA08513F ↗
28. 10.1021/acsami.7b1328410.1021/acsami.7b13284 ↗
29. 10.1126/science.106610210.1126/science.1066102 ↗
30. 10.1088/0960-1317/21/6/06700710.1088/0960-1317/21/6/067007 ↗
31. 10.1166/nnl.2012.141210.1166/nnl.2012.1412 ↗
32. 10.1002/adma.20110157110.1002/adma.201101571 ↗
33. 10.1002/adma.20130407910.1002/adma.201304079 ↗
34. 10.1021/acsami.7b0275910.1021/acsami.7b02759 ↗
35. 10.1021/am201727a10.1021/am201727a ↗
36. 10.1039/c0sm00394h10.1039/c0sm00394h ↗
37. 10.1021/acsami.7b0927410.1021/acsami.7b09274 ↗
38. 10.1039/b515628a10.1039/b515628a ↗
39. 10.1039/b705112c10.1039/b705112c ↗