Multi-scale Computational Screening to Accelerate Discovery of IL/COF Composites for CO2/N2 Separation
The research article titled “Multi-scale Computational Screening to Accelerate Discovery of IL/COF Composites for CO2/N2 Separation” was published in Separation and Purification Technology by Prof. Seda Keskin, Prof. Alper Uzun and our Ph.D. student Hasan Can Gülbalkan from the Graduate School of Sciences and Engineering. Their work proposes a multi-scale approach to examine the carbon dioxide/nitrogen separation performances of ionic liquid (IL)/covalent organic framework (COF) composites.