Accurate and Robust Static Hydrophobic Contact Angle Measurements Using Machine Learning
We present a machine learning (ML) approach to static contact angle measurement, trained on a large data set (>7.2 million) of half drop contours based on solutions to the Young-Laplace equation where the contact angle is known a priori (removing all sources of error from human input). The data s...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | Langmuir : the ACS journal of surfaces and colloids. - 1985. - 40(2024), 32 vom: 13. Aug., Seite 16757-16770
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| 1. Verfasser: |
Shaw, Daniel G
(VerfasserIn) |
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| Weitere Verfasser: |
Liang, Ran,
Zheng, Tian,
Qi, Jianzhong,
Berry, Joseph D |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2024
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| Zugriff auf das übergeordnete Werk: | Langmuir : the ACS journal of surfaces and colloids
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| Schlagworte: | Journal Article |
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