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Fully nonlinear dynamics of stochastic thin-film dewetting

Overview of attention for article published in Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, December 2015
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  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

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Title
Fully nonlinear dynamics of stochastic thin-film dewetting
Published in
Physical Review E: Statistical, Nonlinear, and Soft Matter Physics, December 2015
DOI 10.1103/physreve.92.061002
Pubmed ID
Authors

S Nesic, R Cuerno, E Moro, L Kondic

Abstract

The spontaneous formation of droplets via dewetting of a thin fluid film from a solid substrate allows materials nanostructuring. Often, it is crucial to be able to control the evolution, and to produce patterns characterized by regularly spaced droplets. While thermal fluctuations are expected to play a role in the dewetting process, their relevance has remained poorly understood, particularly during the nonlinear stages of evolution that involve droplet formation. Within a stochastic lubrication framework, we show that thermal noise substantially influences the process of droplets formation. Stochastic systems feature a smaller number of droplets with a larger variability in size and space distribution, when compared to their deterministic counterparts. Finally, we discuss the influence of stochasticity on droplet coarsening for asymptotically long times.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Argentina 1 3%
Unknown 29 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 27%
Student > Master 5 17%
Professor > Associate Professor 5 17%
Professor 5 17%
Researcher 3 10%
Other 3 10%
Unknown 1 3%
Readers by discipline Count As %
Engineering 8 27%
Physics and Astronomy 8 27%
Chemical Engineering 4 13%
Mathematics 3 10%
Materials Science 2 7%
Other 1 3%
Unknown 4 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 03 December 2015.
All research outputs
#17,548,753
of 25,728,855 outputs
Outputs from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#9,213
of 21,122 outputs
Outputs of similar age
#241,999
of 397,226 outputs
Outputs of similar age from Physical Review E: Statistical, Nonlinear, and Soft Matter Physics
#140
of 422 outputs
Altmetric has tracked 25,728,855 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 21,122 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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 397,226 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 422 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 61% of its contemporaries.