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Estimation and prediction of the air–water interfacial tension in conventional and peptide surface-active agents by random Forest regression

Fabián Ricardo, Paola Ruiz Puentes, Luis H. Reyes, Juan C. Cruz, Óscar Álvarez, Diego Pradilla

2022Chemical Engineering Science24 citationsDOI

Topics & Concepts

Surface tensionPeptidePulmonary surfactantChemistryAmino acidIsoleucineMicelleRegressionLeucineBiological systemRandom forestChromatographyMathematicsThermodynamicsOrganic chemistryStatisticsPhysicsAqueous solutionComputer scienceBiochemistryBiologyArtificial intelligenceSurfactants and Colloidal SystemsProteins in Food SystemsFood Chemistry and Fat Analysis
Estimation and prediction of the air–water interfacial tension in conventional and peptide surface-active agents by random Forest regression | Litcius