Browsing Chemical Engineering by Subject "Deep learning"
Now showing items 1-1 of 1
-
Development of deep learning framework to predict physicochemical properties for Ionic liquids
( Elsevier , 2023 , Book chapter)In this paper, a deep learning-based group contribution approach has been developed to identify the optimum structure for ionic liquids (ILs) and to maximize the CO2 absorption capacity. The suggested methodology demonstrates ...