Rational design of high power density “Blue Energy Harvester” pressure retarded osmosis (PRO) membranes using artificial intelligence-based modeling and optimization

Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane

“…It has been found that the water permeability coefficient, thickness, and membrane types are the major contributors to improving the water flux, and operation conditions also play a critical role. 16 Viet and Jang developed various models based on artificial intelligence to predict filtration performance and membrane fouling in the osmotic membrane bioreactor. 17 The artificial intelligence method was employed to predict the engineering factors for the forward osmosis membrane.…”