2009
DOI: 10.1021/la804025h
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Nanoscale Wetting on Groove-Patterned Surfaces

Abstract: In this paper, nanoscale wetting on groove-patterned surfaces is thoroughly studied using molecular dynamics simulations. The results are compared with Wenzel's and Cassie's predictions to determine whether these continuum theories are still valid at the nanoscale for both hydrophobic and hydrophilic types of surfaces when the droplet size is comparable to the groove size. A system with a liquid mercury droplet and grooved copper substrate is simulated. The wetting properties are determined by measuring contac… Show more

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Cited by 104 publications
(71 citation statements)
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References 41 publications
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“…11 (a). Because the distribution of roughness on the solid surface is Gaussian, the difference in the contact area on the hydrophobic rough surface for different H σ val- However, as reported by Yang et al [34] and Yong and Zhang [35], the contact angle of liquid droplet does not follow Wenzel Eq. (14) due to the pinning effect in which the roughness plays a role of an energy barrier.…”
Section: Random Surfacesmentioning
confidence: 92%
“…11 (a). Because the distribution of roughness on the solid surface is Gaussian, the difference in the contact area on the hydrophobic rough surface for different H σ val- However, as reported by Yang et al [34] and Yong and Zhang [35], the contact angle of liquid droplet does not follow Wenzel Eq. (14) due to the pinning effect in which the roughness plays a role of an energy barrier.…”
Section: Random Surfacesmentioning
confidence: 92%
“…Particularly, surfaces with periodic parallel grooves at different length scales, spaces, heights, etc. were extensively investigated in the literature [7][8][9][10][11][12][13][14][15][16][17].…”
Section: Introductionmentioning
confidence: 99%
“…For example, a gradient in surface chemistry can allow a water droplet to flow uphill through wetting interactions [13]. Creating topographical patterns on surfaces is generally accomplished using photolithography [4,14], but this requires expensive toolsets; Moreover, a different mask is required for each pattern.…”
Section: Introductionmentioning
confidence: 99%