The Poisson-Boltzmann model for implicit solvation of electrolyte solutions: Quantum chemical implementation and assessment via Sechenov coefficients
Christopher J. Stein, John M. Herbert, Martin Head-Gordon

TL;DR
This paper develops and assesses a Poisson-Boltzmann implicit solvation model for electrolyte solutions, integrating quantum chemical methods and experimental data to improve accuracy in electrochemical simulations.
Contribution
It introduces a flexible Poisson-Boltzmann model with approximations, recasts it into Euler-Lagrange equations, and discusses parameter fitting and model improvements based on experimental Sechenov coefficients.
Findings
Finite ion size effects are qualitatively inconsistent with experiments.
Electrolyte concentration dependence of the Stern layer is crucial.
A pathway for a revised, more accurate model is proposed.
Abstract
We present the theory and implementation of a Poisson-Boltzmann implicit solvation model for electrolyte solutions. This model can be combined with arbitrary electronic structure methods that provide an accurate charge density of the solute. A hierarchy of approximations for this model includes a linear approximation for weak electrostatic potentials, finite size of the mobile electrolyte ions and a Stern-layer correction. Recasting the Poisson-Boltzmann equations into Euler-Lagrange equations then significantly simplifies the derivation of the free energy of solvation for these approximate models. The parameters of the model are then either fit directly to experimental observables, e.g. the finite ion size, or optimized for agreement with experimental results. Experimental data for this optimization is available in the form of Sechenov coefficients that describe the linear dependence…
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