Literature DB >> 22329402

Finding MOFs for highly selective CO2/N2 adsorption using materials screening based on efficient assignment of atomic point charges.

Emmanuel Haldoupis1, Sankar Nair, David S Sholl.   

Abstract

Electrostatic interactions are a critical factor in the adsorption of quadrupolar species such as CO(2) and N(2) in metal-organic frameworks (MOFs) and other nanoporous materials. We show how a version of the semiempirical charge equilibration method suitable for periodic materials can be used to efficiently assign charges and allow molecular simulations for a large number of MOFs. This approach is illustrated by simulating CO(2) and N(2) adsorption in ~500 MOFs; this is the largest set of structures for which this information has been reported to date. For materials predicted by our calculations to have promising adsorption selectivities, we performed more detailed calculations in which accurate quantum chemistry methods were used to assign atomic point charges, and molecular simulations were used to assess molecular diffusivities and binary adsorption isotherms. Our results identify two MOFs, experimentally known to be stable upon solvent removal, that are predicted to show no diffusion limitations for adsorbed molecules and extremely high CO(2)/N(2) adsorption selectivities for CO(2) adsorption from dry air and from gas mixtures typical of dry flue gas.
© 2012 American Chemical Society

Entities:  

Year:  2012        PMID: 22329402     DOI: 10.1021/ja2108239

Source DB:  PubMed          Journal:  J Am Chem Soc        ISSN: 0002-7863            Impact factor:   15.419


  17 in total

1.  Transferable Force Field for Metal-Organic Frameworks from First-Principles: BTW-FF.

Authors:  Jessica K Bristow; Davide Tiana; Aron Walsh
Journal:  J Chem Theory Comput       Date:  2014-08-27       Impact factor: 6.006

2.  Polarizable Force Fields for CO2 and CH4 Adsorption in M-MOF-74.

Authors:  Tim M Becker; Jurn Heinen; David Dubbeldam; Li-Chiang Lin; Thijs J H Vlugt
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2017-01-31       Impact factor: 4.126

3.  Force-Field Prediction of Materials Properties in Metal-Organic Frameworks.

Authors:  Peter G Boyd; Seyed Mohamad Moosavi; Matthew Witman; Berend Smit
Journal:  J Phys Chem Lett       Date:  2017-01-03       Impact factor: 6.475

4.  Representation of molecular structures with persistent homology for machine learning applications in chemistry.

Authors:  Jacob Townsend; Cassie Putman Micucci; John H Hymel; Vasileios Maroulas; Konstantinos D Vogiatzis
Journal:  Nat Commun       Date:  2020-06-26       Impact factor: 14.919

5.  High-Throughput Screening of MOF Adsorbents and Membranes for H2 Purification and CO2 Capture.

Authors:  Gokay Avci; Sadiye Velioglu; Seda Keskin
Journal:  ACS Appl Mater Interfaces       Date:  2018-09-19       Impact factor: 9.229

6.  Computational Screening of Metal-Organic Frameworks for Membrane-Based CO2/N2/H2O Separations: Best Materials for Flue Gas Separation.

Authors:  Hilal Daglar; Seda Keskin
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2018-07-03       Impact factor: 4.126

7.  Fingerprinting diverse nanoporous materials for optimal hydrogen storage conditions using meta-learning.

Authors:  Yangzesheng Sun; Robert F DeJaco; Zhao Li; Dai Tang; Stephan Glante; David S Sholl; Coray M Colina; Randall Q Snurr; Matthias Thommes; Martin Hartmann; J Ilja Siepmann
Journal:  Sci Adv       Date:  2021-07-21       Impact factor: 14.136

8.  Polarized Protein-Specific Charges from Atoms-in-Molecule Electron Density Partitioning.

Authors:  Louis P Lee; Daniel J Cole; Chris-Kriton Skylaris; William L Jorgensen; Mike C Payne
Journal:  J Chem Theory Comput       Date:  2013-06-11       Impact factor: 6.006

9.  AtomicChargeCalculator: interactive web-based calculation of atomic charges in large biomolecular complexes and drug-like molecules.

Authors:  Crina-Maria Ionescu; David Sehnal; Francesco L Falginella; Purbaj Pant; Lukáš Pravda; Tomáš Bouchal; Radka Svobodová Vařeková; Stanislav Geidl; Jaroslav Koča
Journal:  J Cheminform       Date:  2015-10-22       Impact factor: 5.514

10.  Database for CO2 Separation Performances of MOFs Based on Computational Materials Screening.

Authors:  Cigdem Altintas; Gokay Avci; Hilal Daglar; Ayda Nemati Vesali Azar; Sadiye Velioglu; Ilknur Erucar; Seda Keskin
Journal:  ACS Appl Mater Interfaces       Date:  2018-05-14       Impact factor: 9.229

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