Machine Learning Guided Discovery of Polymer Membranes for Reducing Greenhouse Gas Emissions
Profile
Machine Learning Guided Discovery of Polymer Membranes for Reducing Greenhouse Gas Emissions
PI: Zhen-Gang Wang
Research Team: Yasemin Basdogan
Division of Chemistry and Chemical Engineering
Climate Science Initiative
2021 Explorer grant
We propose designing polymer membranes with optimized permeability and selectivity for reducing greenhouse gas emissions through machine-learning assisted polymer engineering and high throughput screening. These polymer membranes can be optimized for performance separating CO2 from flue gas for more efficient capture.