Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl-water interface

We have used ab initio molecular dynamics (AIMD) simulations to study the interaction of water with the NaCl surface. As expected, we find that water forms several ordered hydration layers, with the first hydration layer having water molecules aligned so that oxygen atoms are on average situated abo...

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Main Authors: Chen, J., Reischl, Bernhard, Spijker, P., Holmberg, N., Laasonen, K., Foster, A.
Format: Journal Article
Published: Royal Society of Chemistry 2014
Online Access:http://hdl.handle.net/20.500.11937/9564
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author Chen, J.
Reischl, Bernhard
Spijker, P.
Holmberg, N.
Laasonen, K.
Foster, A.
author_facet Chen, J.
Reischl, Bernhard
Spijker, P.
Holmberg, N.
Laasonen, K.
Foster, A.
author_sort Chen, J.
building Curtin Institutional Repository
collection Online Access
description We have used ab initio molecular dynamics (AIMD) simulations to study the interaction of water with the NaCl surface. As expected, we find that water forms several ordered hydration layers, with the first hydration layer having water molecules aligned so that oxygen atoms are on average situated above Na sites. In an attempt to understand the dissolution of NaCl in water, we have then combined AIMD with constrained barrier searches, to calculate the dissolution energetics of Na+ and Cl- ions from terraces, steps, corners and kinks of the (100) surface. We find that the barrier heights show a systematic reduction from the most stable flat terrace sites, through steps to the smallest barriers for corner and kink sites. Generally, the barriers for removal of Na+ ions are slightly lower than for Cl- ions. Finally, we use our calculated barriers in a Kinetic Monte Carlo as a first order model of the dissolution process. This journal is
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format Journal Article
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:26:04Z
publishDate 2014
publisher Royal Society of Chemistry
recordtype eprints
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spelling curtin-20.500.11937-95642017-09-13T14:49:27Z Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl-water interface Chen, J. Reischl, Bernhard Spijker, P. Holmberg, N. Laasonen, K. Foster, A. We have used ab initio molecular dynamics (AIMD) simulations to study the interaction of water with the NaCl surface. As expected, we find that water forms several ordered hydration layers, with the first hydration layer having water molecules aligned so that oxygen atoms are on average situated above Na sites. In an attempt to understand the dissolution of NaCl in water, we have then combined AIMD with constrained barrier searches, to calculate the dissolution energetics of Na+ and Cl- ions from terraces, steps, corners and kinks of the (100) surface. We find that the barrier heights show a systematic reduction from the most stable flat terrace sites, through steps to the smallest barriers for corner and kink sites. Generally, the barriers for removal of Na+ ions are slightly lower than for Cl- ions. Finally, we use our calculated barriers in a Kinetic Monte Carlo as a first order model of the dissolution process. This journal is 2014 Journal Article http://hdl.handle.net/20.500.11937/9564 10.1039/c4cp02375g Royal Society of Chemistry restricted
spellingShingle Chen, J.
Reischl, Bernhard
Spijker, P.
Holmberg, N.
Laasonen, K.
Foster, A.
Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl-water interface
title Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl-water interface
title_full Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl-water interface
title_fullStr Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl-water interface
title_full_unstemmed Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl-water interface
title_short Ab initio Kinetic Monte Carlo simulations of dissolution at the NaCl-water interface
title_sort ab initio kinetic monte carlo simulations of dissolution at the nacl-water interface
url http://hdl.handle.net/20.500.11937/9564