(757a) The Influence of Intrinsic Framework Flexibility on Adsorption in Nanoporous Materials
AIChE Annual Meeting
2017
2017 Annual Meeting
Materials Engineering and Sciences Division
MOFs, COFs, and Porous Polymer Materials II: Application
Thursday, November 2, 2017 - 3:15pm to 3:34pm
For applications of metalâorganic frameworks (MOFs) such as gas storage and separation, flexibility is often seen as a parameter that can tune material performance. In this work we aim to determine the optimal flexibility for the shape selective separation of similarly sized molecules (e.g., Xe/Kr mixtures). To obtain systematic insight into how the flexibility impacts this type of separation, we develop a simple analytical model that predicts a materialâs Henry regime adsorption and selectivity as a function of flexibility. We elucidate the complex dependence of selectivity on a frameworkâs intrinsic flexibility whereby performance is either improved or reduced with increasing flexibility, depending on the materialâs pore size characteristics. However, the selectivity of a material with the pore size and chemistry that already maximizes selectivity in the rigid approximation is continuously diminished with increasing flexibility, demonstrating that the globally optimal separation exists within an entirely rigid pore. Molecular simulations show that our simple model predicts performance trends that are observed when screening the adsorption behavior of flexible MOFs. These flexible simulations provide better agreement with experimental adsorption data in a high-performance material that is not captured when modeling this framework as rigid, an approximation typically made in high-throughput screening studies. We conclude that, for shape selective adsorption applications, the globally optimal material will have the optimal pore size/chemistry and minimal intrinsic flexibility even though other nonoptimal materialsâ selectivity can actually be improved by flexibility. Equally important, we find that flexible simulations can be critical for correctly modeling adsorption in these types of systems.