title: Predicting large CO2 adsorption in aluminosilicate zeolites for postcombustion carbon dioxide capture.
abstract: Large-scale simulations of aluminosilicate zeolites were conducted to identify structures that possess large CO(2) uptake for postcombustion carbon dioxide capture. In this study, we discovered that the aluminosilicate zeolite structures with the highest CO(2) uptake values have an idealized silica lattice with a large free volume and a framework topology that maximizes the regions with nearest-neighbor framework atom distances from 3 to 4.5 Å. These predictors extend well to different Si:Al ratios and for both Na(+) and Ca(2+) cations, demonstrating their universal applicability in identifying the best-performing aluminosilicate zeolite structures.
authors.affiliation: Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA.
authors.forename: Jihan
authors.initials: J
authors.lastname: Kim
authors.forename: Li-Chiang
authors.initials: LC
authors.lastname: Lin
authors.forename: Joseph A
authors.initials: JA
authors.lastname: Swisher
authors.forename: Maciej
authors.initials: M
authors.lastname: Haranczyk
authors.forename: Berend
authors.initials: B
authors.lastname: Smit