Machine-Learning Approach in Prediction of the Wettability of a Surface Textured with Microscale Pillars
Tuning the wettability of a flat surface by introducing an array of microscale pillars finds wide applications, especially in engineering a superhydrophobic surface. The wettability of such a pillared surface is quantified by the contact angle (CA) of a water droplet. It is desired to know the CA pr...
| Veröffentlicht in: | Langmuir : the ACS journal of surfaces and colloids. - 1992. - 39(2023), 48 vom: 05. Dez., Seite 17471-17479 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
| Veröffentlicht: |
2023
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| Zugriff auf das übergeordnete Werk: | Langmuir : the ACS journal of surfaces and colloids |
| Schlagworte: | Journal Article |
| Online verfügbar |
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