Improved wetting model for the prediction of topography and dimensionality of superomniphobic surfaces

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<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Lempesis, Nikolaos</dc:creator>
  <dc:creator>Janka, Aleš</dc:creator>
  <dc:creator>Gnatiuk, Oksana</dc:creator>
  <dc:creator>van Eijndhoven, Stef J.L.</dc:creator>
  <dc:creator>Koopmans, Rudolf J.</dc:creator>
  <dc:date>2021-03-23</dc:date>
  <dc:description>This code calculates the contact angle formed between a sessile drop of an arbitrarily defined liquid and a rough surface based on our improved Cassie-Baxter wetting model (https://doi.org/10.1088/2051-672X/ab9419). The topography of the surface needs to be predefined into the input file and may be any of the types: a) 2D pillars, b) fibers, c) sinusoids, d) 3D pillars. Although, theoretically, our model can be applied to topographies with arbitrarily large multiplicity, here the code was devised such that it considers up to three-level topographies hierarchically placed on top of one another. In the “Input” directory, three input files are given for single, two-level and three-level topographies, respectively. In multilevel topographies, the above-mentioned topography types may be combined at will. So, for example, we may have a three-level topography with sinusoidal pulses as the coarser level, fibers as the middle-level and 2D pillars as the finest level. Similarly, two-level and single-level topographies are also possible. The definitions of the multiplicity level and topography types proceed in the input file.</dc:description>
  <dc:identifier>https://archive.materialscloud.org/record/2021.47</dc:identifier>
  <dc:identifier>doi:10.24435/materialscloud:z5-ec</dc:identifier>
  <dc:identifier>mcid:2021.47</dc:identifier>
  <dc:identifier>oai:materialscloud.org:764</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Materials Cloud</dc:publisher>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>MIT License https://spdx.org/licenses/MIT.html</dc:rights>
  <dc:subject>Swissuniversities</dc:subject>
  <dc:subject>Wetting</dc:subject>
  <dc:subject>Superomniphobic</dc:subject>
  <dc:subject>Modelling</dc:subject>
  <dc:subject>Hydrophobic</dc:subject>
  <dc:title>Improved wetting model for the prediction of topography and dimensionality of superomniphobic surfaces</dc:title>
  <dc:type>Dataset</dc:type>
</oai_dc:dc>