CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA

Quantitative structure-property relationship (QSPR) technique provides a suitable tool to predict the critical micelle concentration (CMC) of Gemini surfactants from their structure descriptors. In this study, a comparative work was conducted to model the CMC property of 211 diverse Gemini surfactan...

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Autores principales:	Laidi Maamar, Abdallah el Hadj Abdallah, Si-Moussa Cherif, Benkortebi Othmane, Hentabli Mohamed, Hanini Salah
Formato:	article
Lenguaje:	EN
Publicado:	Association of the Chemical Engineers of Serbia 2021
Materias:	quantitative structure-property relationship surfactants critical micelle concentration modelling machine learning Chemical engineering TP155-156 Chemical industries HD9650-9663
Acceso en línea:	https://doaj.org/article/72b2ae903f4d4b029d33db1174d15f5e
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CMC of diverse Gemini surfactants modelling using a hybrid approach combining SVR-DA

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