Raminder Kaur

Machine-learning-Based modelling of multicomponent forward osmosis processes using novel ternary organic draw solutions

Predicting water flux in forward osmosis (FO) systems that use multicomponent organic draw solutions remains a difficult problem This study evaluates whether data-driven models can predict flux for binary mono propylene glycol propyl ether (PGPE) and ternary hydroxypropyl cellulo...