4.7 Article

Molecular Force Field Development for Aqueous Electrolytes: 1. Incorporating Appropriate Experimental Data and the Inadequacy of Simple Electrolyte Force Fields Based on Lennard-Jones and Point Charge Interactions with Lorentz-Berthelot Rules

Journal

JOURNAL OF CHEMICAL THEORY AND COMPUTATION
Volume 9, Issue 11, Pages 5076-5085

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ct4006008

Keywords

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Funding

  1. Natural Sciences and Engineering Research Council of Canada [OGP1041]
  2. Ontario Research Fund, Atomic Energy of Canada Limited
  3. SHARCNET (Shared Hierarchical Academic Research Computing Network) HPC consortium
  4. Czech National Science Foundation [P208/12/0105]
  5. Czech Ministry of Education, Youth and Sport [LH 12019]

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It is known that none of the available simple molecular interaction models of aqueous electrolytes based on SPC/E water and their associated force fields are able to reproduce the concentration dependence of important thermodynamic properties of even the simplest electrolyte, NaCl, at ambient conditions over the entire experimentally accessible concentration range [Moucka, F.; Nezbeda, I.; Smith, W. R. J. Chem. Phys. 2013, 138, 154102]. This paper explores the possibility of improving their performance by incorporating concentration-dependent experimental data for the total ionic chemical potential and the density into the fitting procedure, in addition to experimental values of solubility and solid chemical potential. We describe a general parameter estimation methodology for a studied class of models that incorporates the aforementioned experimental data. When the entire concentration range is considered, although the resulting force field is a slight improvement over others currently available in the literature, overall quantitative agreement with the experimental data over this range remains unsatisfactory. This indicates an inherent limitation of such simple molecular interaction models and strongly suggests that more complex mathematical forms of such models are required to quantitatively predict the properties of aqueous electrolyte solutions when the entire concentration range is of interest. Our parameter estimation methodology is also applicable to such cases.

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