| Title |
A general patterning approach by manipulating the evolution of two-dimensional liquid foams
|
|---|---|
| Published in |
Nature Communications, January 2017
|
| DOI | 10.1038/ncomms14110 |
| Pubmed ID | |
| Authors |
Zhandong Huang, Meng Su, Qiang Yang, Zheng Li, Shuoran Chen, Yifan Li, Xue Zhou, Fengyu Li, Yanlin Song |
| Abstract |
The evolution of gas-liquid foams has been an attractive topic for more than half a century. However, it remains a challenge to manipulate the evolution of foams, which restricts the development of porous materials with excellent mechanical, thermal, catalytic, electrical or acoustic properties. Here we report a strategy to manipulate the evolution of two-dimensional (2D) liquid foams with a micropatterned surface. We demonstrate that 2D liquid foams can evolve beyond Ostwald ripening (large bubbles always consuming smaller ones). By varying the arrangement of pillars on the surface, we have prepared various patterns of foams in which the size, shape and position of the bubbles can be precisely controlled. Furthermore, these patterned bubbles can serve as a template for the assembly of functional materials, such as nanoparticles and conductive polymers, into desired 2D networks with nanoscale resolution. This methodology provides new insights in controlling curvature-driven evolution and opens a general route for the assembly of functional materials. |
Mendeley readers
The data shown below were compiled from readership statistics for 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 1% |
| Unknown | 93 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 19% |
| Researcher | 11 | 12% |
| Student > Master | 11 | 12% |
| Professor | 7 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Other | 17 | 18% |
| Unknown | 23 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Materials Science | 17 | 18% |
| Chemistry | 13 | 14% |
| Engineering | 12 | 13% |
| Physics and Astronomy | 9 | 10% |
| Agricultural and Biological Sciences | 4 | 4% |
| Other | 12 | 13% |
| Unknown | 27 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2023.
All research outputs
#1,721,135
of 23,230,825 outputs
Outputs from Nature Communications
#22,260
of 48,043 outputs
Outputs of similar age
#38,844
of 421,133 outputs
Outputs of similar age from Nature Communications
#441
of 900 outputs
Altmetric has tracked 23,230,825 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 48,043 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has gotten more attention than average, scoring higher than 53% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 421,133 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 900 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.