Predicting the performance of polyvinylidene fluoride, polyethersulfone and polysulfone filtration membranes using machine learning
Tingli Liu, Lunyang Liu, Fengchao Cui, Fang Ding, Qifeng Zhang, Yunqi Li
Abstract
We built machine learning-based models to predict the performance of filtration membranes, and integrated them into homemade standalone software (polySML).
Topics & Concepts
PolysulfonePolyvinylidene fluorideMembraneFiltration (mathematics)Materials scienceChromatographyComputer scienceChemical engineeringComposite materialChemistryEngineeringMathematicsBiochemistryStatisticsMembrane Separation TechnologiesFuel Cells and Related MaterialsMembrane-based Ion Separation Techniques