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  4. Optimized atomistic force fields for aqueous solutions of Magnesium and Calcium Chloride
 
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2016
Journal Article
Title

Optimized atomistic force fields for aqueous solutions of Magnesium and Calcium Chloride

Title Supplement
Analysis, achievements and limitations
Abstract
Molecular simulations are an important tool in the study of aqueous salt solutions. To predict the physical properties accurately and reliably, the molecular models must be tailored to reproduce experimental data. In this work, a combination of recent global and local optimization tools is used to derive force fields for MgCl2 (aq) and CaCl2 (aq). The molecular models for the ions are based on a Lennard-Jones (LJ) potential with a superimposed point charge. The LJ parameters are adjusted to reproduce the bulk density and shear viscosity of the different solutions at 1 bar and temperatures of 293.15, 303.15, and 318.15 K. It is shown that the s-value of chloride consistently has the strongest influence on the system properties. The optimized force field for MgCl2 (aq) provides both properties in good agreement with the experimental data over a wide range of salt concentrations. For CaCl2 (aq), a compromise was made between the bulk density and shear viscosity, since reproducing the two properties requires two different choices of the LJ parameters. This is demonstrated by studying metamodels of the simulated data, which are generated to visualize the correlation between the parameters and observables by using projection plots. Consequently, in order to derive a transferable force field, an error of ∼3% on the bulk density has to be tolerated to yield the shear viscosity in satisfactory agreement with experimental data.
Author(s)
Elfgen, R.
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Hülsmann, M.
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Krämer, A.
Köddermann, T.
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Kirschner, K.N.
Reith, Dirk  orcid-logo
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Journal
European physical journal special topics  
DOI
10.1140/epjst/e2016-60112-7
Language
English
Fraunhofer-Institut für Algorithmen und Wissenschaftliches Rechnen SCAI  
Keyword(s)
  • Molecular simulation

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