AI screens 100,000+ membrane combinations, predicting carbon capture performance ...

Researchers at Koç University used a combined molecular simulation and machine learning framework to rapidly screen over 100,000 metal-organic framework (MOF) and polymer membrane combinations, predicting carbon capture and gas separation performance within seconds. The approach revealed many candidate membranes that outperform traditional polymers for industrial gas separations, including carbon dioxide capture and hydrogen purification.

This Wire brief sits within Fusion42's coverage of Climate Tech.