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Multifaceted design optimisation for superomniphobic surfaces [dataset] Open Access

This dataset contains the simulated data for the contact angle hysteresis (CAH), critical pressures, critical heights, transition state energies, and genetic algorithm populations presented in the results and discussions of the main text and supplementary material of: Panter, J. R., Gizaw, Y., and Kusumaatmaja, H., Multifaceted design optimisation for superomniphobic surfaces, Science Advances, 2019. | Abstract for Panter, J. R., Gizaw, Y., and Kusumaatmaja, H., Multifaceted design optimisation for superomniphobic surfaces, Science Advances, 2019: Superomniphobic textures are at the frontier of surface design for vast arrays of applications. Despite recent significant advances in fabrication methods for reentrant and doubly reentrant microstructures, design optimisation remains a major challenge. We overcome this in two stages. Firstly, we develop readily-generalisable computational methods to systematically survey three key wetting properties: contact angle hysteresis, critical pressure, and minimum energy wetting barrier. For each, we uncover multiple competing mechanisms, leading to the development of new quantitative models, and correction of inaccurate assumptions in prevailing models. Secondly, we combine these analyses simultaneously, demonstrating the power of this strategy by optimizing structures that are well-suited to overcome challenges faced by two emerging applications: membrane distillation and digital microfluidics. As the wetting properties are antagonistically coupled, this multifaceted approach is essential for optimal design. When large surveys are impractical, we show that genetic algorithms enable efficient optimisation, offering speedups of up to 10,000×.

Descriptions

Resource type
Dataset
Contributors
Creator: Panter, Jack 1
Data collector: Panter, Jack 1
Creator: Kusumaatmaja, Halim 1
Contact person: Kusumaatmaja, Halim 1
Editor: Gizaw, Yonas 2
1 University of Durham, UK
2 P&G, USA
Funder
Engineering and Physical Sciences Research Council
Procter & Gamble
Research methods
Other description
Keyword
superomniphobic
contact angle hysteresis
critical pressure
wetting barrier
simultaneous optimisation
Subject
Physics
Location
Language
English
Cited in
Identifier
ark:/32150/r1m039k492r
doi:10.15128/r1m039k492r
Rights
Creative Commons Attribution 4.0 International (CC BY)

Publisher
Durham University
Date Created
2019-04-23

File Details

Depositor
J.R. Panter
Date Uploaded
Date Modified
24 April 2019, 11:04:35
Audit Status
Audits have not yet been run on this file.
Characterization
File format: zip (ZIP Format)
Mime type: application/zip
File size: 57122
Last modified: 2019:04:24 10:58:00+01:00
Filename: multifaceted_2019_data.zip
Original checksum: 99bddcd0349e67274c9ea19b7cba4980
Activity of users you follow
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User N. Syrotiuk has updated Multifaceted design optimisation for superomniphobic surfaces [dataset] about 1 month ago
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User N. Syrotiuk has updated Panter Gizaw Kusumaatmaj Multifaceted design optimisation [dataset] about 1 month ago