Literature DB >> 19006274

Distribution of binding energies of a water molecule in the water liquid-vapor interface.

Shaji Chempath1, Lawrence R Pratt.   

Abstract

Distributions of binding energies of a water molecule in the water liquid-vapor interface are obtained on the basis of molecular simulation with the SPC/E model of water. These binding energies together with the observed interfacial density profile are used to test a minimally conditioned Gaussian quasi-chemical statistical thermodynamic theory. Binding energy distributions for water molecules in that interfacial region clearly exhibit a composite structure. A minimally conditioned Gaussian quasi-chemical model that is accurate for the free energy of bulk liquid water breaks down for water molecules in the liquid-vapor interfacial region. This breakdown is associated with the fact that this minimally conditioned Gaussian model would be inaccurate for the statistical thermodynamics of a dilute gas. Aggressive conditioning greatly improves the performance of that Gaussian quasi-chemical model. The analogy between the Gaussian quasi-chemical model and dielectric models of hydration free energies suggests that naive dielectric models without the conditioning features of quasi-chemical theory will be unreliable for these interfacial problems. Multi-Gaussian models that address the composite nature of the binding energy distributions observed in the interfacial region might provide a mechanism for correcting dielectric models for practical applications.

Entities:  

Year:  2009        PMID: 19006274     DOI: 10.1021/jp806858z

Source DB:  PubMed          Journal:  J Phys Chem B        ISSN: 1520-5207            Impact factor:   2.991


  2 in total

1.  Ion selectivity from local configurations of ligands in solutions and ion channels.

Authors:  D Asthagiri; P D Dixit; S Merchant; M E Paulaitis; L R Pratt; S B Rempe; S Varma
Journal:  Chem Phys Lett       Date:  2010-01-18       Impact factor: 2.328

2.  The Excess Chemical Potential of Water at the Interface with a Protein from End Point Simulations.

Authors:  Bin W Zhang; Di Cui; Nobuyuki Matubayasi; Ronald M Levy
Journal:  J Phys Chem B       Date:  2018-04-23       Impact factor: 2.991

  2 in total

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