journal article·2019-05

A Facile One‐Step Approach for Constructing Multidimensional Ordered Nanowire Micropatterns via Fibrous Elastocapillary Coalescence

Ruixin Bian, Lili Meng, Cheng Guo, Zhongxue Tang, Huan Liu

Advanced Materials· Volume 31· Issue 18
Publisher page

Abstract

Abstract Nanowire (NW) based micropatterns have attracted research interests for their applications in electric microdevices. Particularly, aligning NWs represents an important process due to the as‐generated integrated physicochemical advantages. Here, a facile and general strategy is developed to align NWs using fibrous elastocapillary coalescence of carbon nanotube arrays (ACNTs), which enables constructing multidimensional ordered NW micropatterns in one step without any external energy input. It is proposed that the liquid film of NW solution is capable of shrinking unidirectionally on the top of ACNTs, driven by the dewetting‐induced elastocapillary coalescence of the ACNTs. Consequently, the randomly distributed NWs individually rotate and move into dense alignment. Meanwhile, the aggregating and bundling of ACNTs is helpful to produce carbon nanotube (CNT) yarns connecting neighboring bundles. Thus, a micropatterned NW network composed of a top‐layer of horizontally aligned NWs and an under‐layer of vertical ACNT bundles connected by CNT yarns is prepared, showing excellent performance in sensing external pressure with a sensitivity of 0.32 kPa−1. Moreover, the aligned NWs can be transferred onto various substrates for constructing electronic circuits. The strategy is applicable for aligning various NWs of Ag, ZnO, Al2O3, and even living microbes. The result may offer new inspiration for fabricating NW‐based functional micropatterns.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Nanomaterials and Printing Technologies · Advanced Materials and Mechanics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Bio‐Inspired Smart Interfacial Science and Technology of Ministry of Education School of Chemistry Beijing Advanced Innovation Center for Biomedical Engineering and International Research Institute for Multidisciplinary Science Beihang University 37 Xueyuan Road Haidian District Beijing 100191 China

Funding

National Natural Science Foundation of China

References (63)

Show source-provided references
1. 10.1038/3505104710.1038/35051047 ↗
2. 10.1002/adma.20160552910.1002/adma.201605529 ↗
3. 10.1126/science.112864010.1126/science.1128640 ↗
4. 10.1002/adma.20170103110.1002/adma.201701031 ↗
5. 10.1021/acs.chemrev.5b0060810.1021/acs.chemrev.5b00608 ↗
6. 10.1038/nnano.2011.3610.1038/nnano.2011.36 ↗
7. 10.1038/ncomms864710.1038/ncomms8647 ↗
8. 10.1002/anie.20120959610.1002/anie.201209596 ↗
9. 10.1039/C7CS00192D10.1039/C7CS00192D ↗
10. 10.1021/ja506790w10.1021/ja506790w ↗
11. 10.1002/adma.20110349610.1002/adma.201103496 ↗
12. 10.1002/adma.20160260310.1002/adma.201602603 ↗
13. 10.1002/adma.20120064510.1002/adma.201200645 ↗
14. 10.1002/anie.20140829810.1002/anie.201408298 ↗
15. 10.1038/nphoton.2012.28210.1038/nphoton.2012.282 ↗
16. 10.1038/nnano.2013.8410.1038/nnano.2013.84 ↗
17. 10.1038/ncomms263910.1038/ncomms2639 ↗
18. 10.1126/science.123485510.1126/science.1234855 ↗
19. 10.1126/science.112400510.1126/science.1124005 ↗
20. 10.1002/anie.20150530810.1002/anie.201505308 ↗
21. 10.1002/adma.20090086010.1002/adma.200900860 ↗
22. 10.1002/adma.20160230210.1002/adma.201602302 ↗
23. 10.1002/anie.20140861710.1002/anie.201408617 ↗
24. 10.1038/nmat283510.1038/nmat2835 ↗
25. 10.1038/nature2549410.1038/nature25494 ↗
26. 10.1038/nnano.2011.18410.1038/nnano.2011.184 ↗
27. 10.1002/anie.20180551910.1002/anie.201805519 ↗
28. 10.1021/cr200347w10.1021/cr200347w ↗
29. 10.1002/adma.20170706810.1002/adma.201707068 ↗
30. 10.1002/anie.20100712110.1002/anie.201007121 ↗
31. 10.1021/ja005913810.1021/ja0059138 ↗
32. 10.1021/ja071114e10.1021/ja071114e ↗
33. 10.1021/jacs.7b0322710.1021/jacs.7b03227 ↗
34. 10.1002/anie.20170151210.1002/anie.201701512 ↗
35. 10.1038/nnano.2007.15010.1038/nnano.2007.150 ↗
36. 10.1126/science.291.5504.63010.1126/science.291.5504.630 ↗
37. 10.1021/ja002553f10.1021/ja002553f ↗
38. 10.1002/anie.20100589110.1002/anie.201005891 ↗
39. 10.1073/pnas.080199410510.1073/pnas.0801994105 ↗
40. 10.1021/ja809995410.1021/ja8099954 ↗
41. 10.1073/pnas.150995811210.1073/pnas.1509958112 ↗
42. 10.1002/adma.20140528910.1002/adma.201405289 ↗
43. 10.1002/anie.20141238810.1002/anie.201412388 ↗
44. 10.1063/1.129027210.1063/1.1290272 ↗
45. 10.1038/nnano.2010.10610.1038/nnano.2010.106 ↗
46. 10.1002/adma.20140303910.1002/adma.201403039 ↗
47. 10.1039/c2cs15335a10.1039/c2cs15335a ↗
48. 10.1002/adma.20170693810.1002/adma.201706938 ↗
49. 10.1039/b606654b10.1039/b606654b ↗
50. 10.1021/acsnano.7b0637110.1021/acsnano.7b06371 ↗
51. 10.1002/anie.20035198810.1002/anie.200351988 ↗
52. 10.1073/pnas.040073410110.1073/pnas.0400734101 ↗
53. 10.1002/adma.20060288310.1002/adma.200602883 ↗
54. 10.1038/419801a10.1038/419801a ↗
55. 10.1002/adma.20050252810.1002/adma.200502528 ↗
56. 10.1126/science.110427610.1126/science.1104276 ↗
57. 10.1002/anie.20180355210.1002/anie.201803552 ↗
58. 10.1093/acprof:oso/9780195173154.001.000110.1093/acprof:oso/9780195173154.001.0001 ↗
59. 10.1002/adfm.20180413210.1002/adfm.201804132 ↗
60. 10.1021/ja505741e10.1021/ja505741e ↗
61. 10.1039/C3EE43182G10.1039/C3EE43182G ↗
62. 10.1038/nnano.2012.20610.1038/nnano.2012.206 ↗
63. 10.1126/science.291.5505.85110.1126/science.291.5505.851 ↗