Literature DB >> 26636364

Computing the Heat of Adsorption using Molecular Simulations: The Effect of Strong Coulombic Interactions.

T J H Vlugt1, E García-Pérez1, D Dubbeldam1, S Ban1, S Calero1.   

Abstract

Molecular simulations are an important tool for the study of adsorption of hydrocarbons in nanoporous materials such as zeolites. The heat of adsorption is an important thermodynamic quantity that can be measured both in experiments and molecular simulations, and therefore it is often used to investigate the quality of a force field for a certain guest-host (g - h) system. In molecular simulations, the heat of adsorption in zeolites is often computed using either of the following methods: (1) using the Clausius-Clapeyron equation, which requires the partial derivative of the pressure with respect to temperature at constant loading, (2) using the energy difference between the host with and without a single guest molecule present, and (3) from energy/particle fluctuations in the grand-canonical ensemble. To calculate the heat of adsorption from experiments (besides direct calorimetry), only the first method is usually applicable. Although the computation of the heat of adsorption is straightforward for all-silica zeolites, severe difficulties arise when applying the conventional methods to systems with nonframework cations present. The reason for this is that these nonframework cations have very strong Coulombic interactions with the zeolite. We will present an alternative method based on biased interactions of guest molecules that suffers less from these difficulties. This method requires only a single simulation of the host structure. In addition, we will review some of the other important issues concerning the handling of these strong Coulombic interactions in simulating the adsorption of guest molecules. It turns out that the recently proposed Wolf method ( J. Chem. Phys. 1999, 110 , 8254 ) performs poorly for zeolites as a large cutoff radius is needed for convergence.

Entities:  

Year:  2008        PMID: 26636364     DOI: 10.1021/ct700342k

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  12 in total

1.  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

2.  Behavior of the Enthalpy of Adsorption in Nanoporous Materials Close to Saturation Conditions.

Authors:  Ariana Torres-Knoop; Ali Poursaeidesfahani; Thijs J H Vlugt; David Dubbeldam
Journal:  J Chem Theory Comput       Date:  2017-06-09       Impact factor: 6.006

3.  Predicting Product Distribution of Propene Dimerization in Nanoporous Materials.

Authors:  Yifei Michelle Liu; Berend Smit
Journal:  ACS Catal       Date:  2017-04-28       Impact factor: 13.084

4.  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

5.  Hydride Transfer versus Deprotonation Kinetics in the Isobutane-Propene Alkylation Reaction: A Computational Study.

Authors:  Chong Liu; Rutger A van Santen; Ali Poursaeidesfahani; Thijs J H Vlugt; Evgeny A Pidko; Emiel J M Hensen
Journal:  ACS Catal       Date:  2017-11-09       Impact factor: 13.084

6.  The effect of crystallite size on pressure amplification in switchable porous solids.

Authors:  Simon Krause; Volodymyr Bon; Irena Senkovska; Daniel M Többens; Dirk Wallacher; Renjith S Pillai; Guillaume Maurin; Stefan Kaskel
Journal:  Nat Commun       Date:  2018-04-20       Impact factor: 14.919

7.  Accelerating the Selection of Covalent Organic Frameworks with Automated Machine Learning.

Authors:  Peisong Yang; Huan Zhang; Xin Lai; Kunfeng Wang; Qingyuan Yang; Duli Yu
Journal:  ACS Omega       Date:  2021-06-25

8.  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

9.  Biporous Metal-Organic Framework with Tunable CO2/CH4 Separation Performance Facilitated by Intrinsic Flexibility.

Authors:  Andrzej Gładysiak; Kathryn S Deeg; Iurii Dovgaliuk; Arunraj Chidambaram; Kaili Ordiz; Peter G Boyd; Seyed Mohamad Moosavi; Daniele Ongari; Jorge A R Navarro; Berend Smit; Kyriakos C Stylianou
Journal:  ACS Appl Mater Interfaces       Date:  2018-10-11       Impact factor: 9.229

10.  Molecular Simulation of Vapor-Liquid Equilibria Using the Wolf Method for Electrostatic Interactions.

Authors:  Remco Hens; Thijs J H Vlugt
Journal:  J Chem Eng Data       Date:  2017-12-13       Impact factor: 2.694

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