Predicting the adsorption capacity of organic dye using zirconium-based metal–organic framework: a comparative analysis of RSM and ANN-based models
Irvan Dahlan, Christopher Chiedozie, Veshmen Poopathi
Topics & Concepts
ZirconiumResponse surface methodologyAdsorptionArtificial neural networkMATLABMaterials scienceBiological systemMathematicsChemistryComputer scienceChromatographyMachine learningOrganic chemistryMetallurgyOperating systemBiologyMetal-Organic Frameworks: Synthesis and ApplicationsAdsorption and biosorption for pollutant removalSynthesis of Tetrazole Derivatives