Predicting the critical micelle concentration of binary surfactant mixtures using machine learning

Abstract Surfactant mixtures play a critical role in industries such as drug delivery, cosmetics, firefighting foams, and lubrication, serving as foundational components of the global economy. Their performance hinges on micelle formation, a self-assembly process governed by the critical micelle con...

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Egile Nagusiak:	Aditya Choudhary, Saaketh Desai, Methun Kamruzzaman, Alexander Landera, Koushik Ghosh, Kunal Poorey
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	BMC 2025-11-01
Saila:	Journal of Cheminformatics
Gaiak:	Mixture property prediction Surfactant mixtures Critical micelle concentration Quantitative structure–property relationships Machine learning High-throughput screening
Sarrera elektronikoa:	https://doi.org/10.1186/s13321-025-01112-2
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