Predicting Solvation Free Energies and Thermodynamics in Polar Solvents and Mixtures Using a Solvation-Layer Interface Condition
Amirhossein Molavi Tabrizi, Spencer Goossens, Ali Mehdizadeh, Rahimi, Matthew G. Knepley, Jaydeep P. Bardhan

TL;DR
This paper introduces a modified dielectric continuum model called SLIC that accurately predicts ion solvation thermodynamics and free energies in various polar solvents and mixtures without extensive fitting, enhancing predictive capabilities.
Contribution
The authors develop the SLIC model with two key modifications, improving prediction accuracy for solvation thermodynamics across diverse solvents and mixtures without fitting solute radii.
Findings
SLIC predicts transfer free energies within 2.5 kJ/mol for nine water-co-solvent mixtures.
The model accurately reproduces entropies and heat capacities.
SLIC works well for biologically relevant solvents like urea and DMF.
Abstract
We demonstrate that with two small modifications, the popular dielectric continuum model is capable of predicting, with high accuracy, ion solvation thermodynamics in numerous polar solvents, and ion solvation free energies in water--co-solvent mixtures. The first modification involves perturbing the macroscopic dielectric-flux interface condition at the solute--solvent interface with a nonlinear function of the local electric field, giving what we have called a solvation-layer interface condition (SLIC). The second modification is a simple treatment of the microscopic interface potential (static potential). We show that the resulting model exhibits high accuracy without the need for fitting solute atom radii in a state-dependent fashion. Compared to experimental results in nine water--co-solvent mixtures, SLIC predicts transfer free energies to within 2.5 kJ/mol. The co-solvents…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
