On the Accuracy of One and Two Particle Solvation Entropies
Publication Date
2017-05-19Journal Title
Journal of Chemical Physics
ISSN
0021-9606
Publisher
American Institute of Physics
Volume
146
Number
194111
Type
Article
This Version
VoR
Metadata
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Irwin, B., & Huggins, D. (2017). On the Accuracy of One and Two Particle Solvation Entropies. Journal of Chemical Physics, 146 (194111)https://doi.org/10.1063/1.4983654
Abstract
Evaluating solvation entropies directly and combining with direct energy calculations is one way of calculating free energies of solvation and is used by Inhomogeneous Fluid Solvation Theory (IFST). The configurational entropy of a fluid is a function of the interatomic correlations and can thus be expressed in terms of correlation functions. The entropies in this work are directly calculated from a truncated series of integrals over these correlation functions. Many studies truncate all terms higher than solvent- solute correlation. This study includes an additional solvent-solvent correlation term and assesses the associated free energy when IFST is applied to a fixed Lennard-Jones particle solvated in neon. The strength of the central potential is varied to imitate larger solutes. Average free energy estimates with both levels of IFST theory are able to reproduce the estimate made using Free energy Perturbation (FEP) to within 0.16 kcal/mol. We find that the signal from the solvent-solvent correlations is very weak. Our conclusion is that for monatomic fluids simulated by pairwise classical potentials the correction term is relatively small in magnitude. This study shows it is possible to reproduce the free energy from a path based method like FEP, by only considering the endpoints of the path. This method can be directly applied to more complex solutes which break the spherical symmetry of this study.
Relationships
Is supplemented by: https://doi.org/10.17863/CAM.9335
Sponsorship
Benedict W. J. Irwin acknowledges nancial support from the EPSRC Centre for Doc- toral Training in Computational Methods for Materials Science under grant EP/L015552/1. This work was performed using the Darwin Supercomputer of the University of Cambridge High Performance Computing Service (http://www.hpc.cam.ac.uk/), provided by Dell Inc. using Strategic Research Infrastructure Funding from the Higher Education Funding Coun- cil for England and funding from the Science and Technology Facilities Council. Work in David J. Huggins lab was supported by the Medical Research Council (MRC) under grant ML/L007266/1.
Funder references
MRC (MR/L007266/1)
EPSRC (1502911)
EPSRC (EP/L015552/1)
Identifiers
External DOI: https://doi.org/10.1063/1.4983654
This record's URL: https://www.repository.cam.ac.uk/handle/1810/264805