Machine learning-based prediction and optimization of polymeric membranes for CO2 separation
Polymeric membranes are widely used for gas separation due to their energy efficiency and scalability, particularly for carbon dioxide (CO2) capture applications. However, accurately predicting gas permeability in polymeric membranes remains a challenge due to complex nonlinear structure–property relationships and the...