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  4. The Influence of Intrinsic Framework Flexibility on Adsorption in Nanoporous Materials
 
research article

The Influence of Intrinsic Framework Flexibility on Adsorption in Nanoporous Materials

Witman, Matthew
•
Ling, Sanliang
•
Jawahery, Sudi
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2017
Journal Of The American Chemical Society

For applications of metal-organic 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 material's Henry regime adsorption and selectivity as a function of flexibility. We elucidate the complex dependence of selectivity on a framework's intrinsic flexibility whereby performance is either improved or reduced with increasing flexibility, depending on the material's 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 materials' 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.

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Type
research article
DOI
10.1021/jacs.7b01688
Web of Science ID

WOS:000399966000037

Author(s)
Witman, Matthew
Ling, Sanliang
Jawahery, Sudi
Boyd, Peter G.
Haranczyk, Maciej
Slater, Ben
Smit, Berend  
Date Issued

2017

Published in
Journal Of The American Chemical Society
Volume

139

Issue

15

Start page

5547

End page

5557

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
CEN  
Available on Infoscience
May 30, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/137953
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