Berkeley Lab Researchers Help Develop a Computer Model That
Identifies the Best Molecular Candidates
A computer model that can identify the best molecular
candidates for removing carbon dioxide, molecular nitrogen and other greenhouse
gases from power plant flues has been developed by researchers with the U.S.
Department of Energy (DOE)’s Lawrence Berkeley National Laboratory (Berkeley
Lab), the University of California (UC) Berkeley and the University of
Minnesota. The model is the first computational method to provide accurate
simulations of the interactions between flue gases and a special variety of the
gas-capturing molecular systems known as metal-organic frameworks (MOFs).