Can Machine Learning Predict the Phase Behavior of Surfactants?

We explore the prediction of surfactant phase behavior using state-of-the-art machine learning methods, using a data set for twenty-three nonionic surfactants. Most machine learning classifiers we tested are capable of filling in missing data in a partially complete data set. However, strong data bi...

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Veröffentlicht in:	The journal of physical chemistry. B 2023-04, Vol.127 (16), p.3711-3727
Hauptverfasser:	Thacker, Joseph C. R., Bray, David J., Warren, Patrick B., Anderson, Richard L.
Format:	Artikel
Sprache:	eng
Schlagworte:	B: Soft Matter, Fluid Interfaces, Colloids, Polymers, and Glassy Materials
Online-Zugang:	Volltext
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