In Silico Prediction of Critical Micelle Concentration (CMC) of Classic and Extended Anionic Surfactants from Their Molecular Structural Descriptors

CMC is an important parameter for the characterization of surfactants. Compared to other properties, the CMC can be correlated with surfactants performance characteristics on an industrial scale. In this investigation, QSPR models were established to identify the relation between the molecular struc...

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Veröffentlicht in:	Arabian journal for science and engineering (2011) 2020-09, Vol.45 (9), p.7445-7454
Hauptverfasser:	Rahal, S., Hadidi, N., Hamadache, M.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Atomic properties Engineering Humanities and Social Sciences Micelles Molecular chains Molecular structure multidisciplinary Multilayer perceptrons Neural networks Prediction models Research Article-Chemical Engineering Robustness (mathematics) Science Surfactants
Online-Zugang:	Volltext
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