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The effect of composition and thermodynamics on the surface morphology of durable superhydrophobic polymer coatings

Overview of attention for article published in Nanotechnology Science and Applications, February 2017
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)

Mentioned by

patent
1 patent

Citations

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15 Dimensions

Readers on

mendeley
48 Mendeley
Title
The effect of composition and thermodynamics on the surface morphology of durable superhydrophobic polymer coatings
Published in
Nanotechnology Science and Applications, February 2017
DOI 10.2147/nsa.s123447
Pubmed ID
Authors

Tehila Nahum, Hanna Dodiuk, Samuel Kenig, Artee Panwar, Carol Barry, Joey Mead

Abstract

Durable superhydrophobic coatings were synthesized using a system of silica nanoparticles (NPs) to provide nanoscale roughness, fluorosilane to give hydrophobic chemistry, and three different polymer binders: urethane acrylate, ethyl 2-cyanoacrylate, and epoxy. Coatings composed of different binders incorporating NPs in various concentrations exhibited different superhydrophobic attributes when applied on polycarbonate (PC) and glass substrates and as a function of coating composition. It was found that the substrate surface characteristics and wettability affected the superhydrophobic characteristics of the coatings. Interfacial tension and spreading coefficient parameters (thermodynamics) of the coating components were used to predict the localization of the NPs for the different binders' concentrations. The thermodynamic analysis of the NPs localization was in good agreement with the experimental observations. On the basis of the thermodynamic analysis and the experimental scanning electron microscopy, X-ray photoelectron spectroscopy, profilometry, and atomic force microscopy results, it was concluded that localization of the NPs on the surface was critical to provide the necessary roughness and resulting superhydrophobicity. The durability evaluated by tape testing of the epoxy formulations was the best on both glass and PC. Several coating compositions retained their superhydrophobicity after the tape test. In summary, it was concluded that thermodynamic analysis is a powerful tool to predict the roughness of the coating due to the location of NPs on the surface, and hence can be used in the design of superhydrophobic coatings.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 21%
Professor > Associate Professor 6 13%
Student > Bachelor 5 10%
Researcher 5 10%
Student > Master 4 8%
Other 6 13%
Unknown 12 25%
Readers by discipline Count As %
Materials Science 12 25%
Engineering 8 17%
Chemistry 7 15%
Chemical Engineering 3 6%
Physics and Astronomy 1 2%
Other 3 6%
Unknown 14 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 06 October 2020.
All research outputs
#7,525,196
of 22,965,074 outputs
Outputs from Nanotechnology Science and Applications
#30
of 60 outputs
Outputs of similar age
#144,010
of 420,426 outputs
Outputs of similar age from Nanotechnology Science and Applications
#1
of 1 outputs
Altmetric has tracked 22,965,074 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 60 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 35th percentile – i.e., 35% 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 420,426 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them