Literature DB >> 27825240

Multicomponent adsorption in mesoporous flexible materials with flat-histogram Monte Carlo methods.

Nathan A Mahynski1, Vincent K Shen1.   

Abstract

We demonstrate an extensible flat-histogram Monte Carlo simulation methodology for studying the adsorption of multicomponent fluids in flexible porous solids. This methodology allows us to easily obtain the complete free energy landscape for the confined fluid-solid system in equilibrium with a bulk fluid of any arbitrary composition. We use this approach to study the adsorption of a prototypical coarse-grained binary fluid in "Hookean" solids, where the free energy of the solid may be described as a simple spring. However, our approach is fully extensible to solids with arbitrarily complex free energy profiles. We demonstrate that by tuning the fluid-solid interaction ranges, the inhomogeneous fluid structure inside the pore can give rise to enhanced selective capture of a larger species through cooperative adsorption with a smaller one. The maximum enhancement in selectivity is observed at low to intermediate pressures and is especially pronounced when the larger species is very dilute in the bulk. This suggest a mechanism by which the selective capture of a minor component from a bulk fluid may be enhanced.

Entities:  

Year:  2016        PMID: 27825240      PMCID: PMC5206665          DOI: 10.1063/1.4966573

Source DB:  PubMed          Journal:  J Chem Phys        ISSN: 0021-9606            Impact factor:   3.488


  25 in total

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2.  Monte Carlo Simulation Methods for Computing Liquid-Vapor Saturation Properties of Model Systems.

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5.  Free energy landscapes for the thermodynamic understanding of adsorption-induced deformations and structural transitions in porous materials.

Authors:  D Bousquet; F-X Coudert; A Boutin
Journal:  J Chem Phys       Date:  2012-07-28       Impact factor: 3.488

6.  Predicting mixture coadsorption in soft porous crystals: experimental and theoretical Study of CO2/CH4 in MIL-53(Al).

Authors:  Aurélie U Ortiz; Marie-Anne Springuel-Huet; François-Xavier Coudert; Alain H Fuchs; Anne Boutin
Journal:  Langmuir       Date:  2011-12-14       Impact factor: 3.882

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8.  Highly efficient separation of carbon dioxide by a metal-organic framework replete with open metal sites.

Authors:  David Britt; Hiroyasu Furukawa; Bo Wang; T Grant Glover; Omar M Yaghi
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9.  Adsorption-induced deformation of microporous carbons: pore size distribution effect.

Authors:  Piotr Kowalczyk; Alina Ciach; Alexander V Neimark
Journal:  Langmuir       Date:  2008-06-04       Impact factor: 3.882

10.  Adsorption of n-pentane on mesoporous silica and adsorbent deformation.

Authors:  Gennady Yu Gor; Oskar Paris; Johannes Prass; Patrícia A Russo; M Manuela L Ribeiro Carrott; Alexander V Neimark
Journal:  Langmuir       Date:  2013-06-26       Impact factor: 3.882

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  6 in total

1.  Multivariable extrapolation of grand canonical free energy landscapes.

Authors:  Nathan A Mahynski; Jeffrey R Errington; Vincent K Shen
Journal:  J Chem Phys       Date:  2017-12-21       Impact factor: 3.488

2.  Controlling relative polymorph stability in soft porous crystals with a barostat.

Authors:  Nathan A Mahynski; Vincent K Shen
Journal:  J Chem Phys       Date:  2017-06-14       Impact factor: 3.488

3.  Relationship between Pore-size Distribution and Flexibility of Adsorbent Materials: Statistical Mechanics and Future Material Characterization Techniques.

Authors:  Daniel W Siderius; Nathan A Mahynski; Vincent K Shen
Journal:  Adsorption (Boston)       Date:  2017-03-30       Impact factor: 2.318

4.  Temperature extrapolation of multicomponent grand canonical free energy landscapes.

Authors:  Nathan A Mahynski; Jeffrey R Errington; Vincent K Shen
Journal:  J Chem Phys       Date:  2017-08-07       Impact factor: 3.488

5.  Flat-Histogram Monte Carlo as an Efficient Tool To Evaluate Adsorption Processes Involving Rigid and Deformable Molecules.

Authors:  Matthew Witman; Nathan A Mahynski; Berend Smit
Journal:  J Chem Theory Comput       Date:  2018-11-27       Impact factor: 6.006

6.  Predicting structural properties of fluids by thermodynamic extrapolation.

Authors:  Nathan A Mahynski; Sally Jiao; Harold W Hatch; Marco A Blanco; Vincent K Shen
Journal:  J Chem Phys       Date:  2018-05-21       Impact factor: 3.488

  6 in total

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