Litcius/Paper detail

Predicting the performance of organic solvent reverse osmosis membranes using artificial neural network and principal component analysis by considering solvent–solvent and solvent–membrane affinities

Hossein Jalaei Salmani, Rifan Hardian, Hadi Kalani, Mohammad Reza Moradi, Hamed Karkhanechi, György Székely, Hideto Matsuyama

2023Journal of Membrane Science18 citationsDOIOpen Access PDF

Topics & Concepts

Artificial neural networkPrincipal component analysisSolventSolubilityBiological systemMembraneMultilayer perceptronArtificial intelligenceMachine learningPerceptronChemistryProcess (computing)Computer scienceOrganic chemistryOperating systemBiologyBiochemistryMembrane Separation TechnologiesMembrane-based Ion Separation TechniquesFuel Cells and Related Materials
Predicting the performance of organic solvent reverse osmosis membranes using artificial neural network and principal component analysis by considering solvent–solvent and solvent–membrane affinities | Litcius