Molecular Density Functional Theory of Water describing Hydrophobicity at Short and Long Length Scales
Guillaume Jeanmairet, Maximilien Levesque, Daniel Borgis

TL;DR
This paper extends a molecular density functional theory of water to better describe hydrophobic solvation across different length scales, incorporating corrections for accurate free energy predictions and solvation structure.
Contribution
It introduces a corrected functional combining quadratic and hard-sphere terms, enabling accurate modeling of hydrophobic solvation from small molecules to nanometer-sized particles.
Findings
Accurately reproduces water structure around small hydrophobic molecules.
Overestimates solvation free energies initially, but corrections improve predictions.
Captures the transition from volume-driven to surface-driven solvation regimes at nanoscales.
Abstract
We present an extension of our recently introduced molecular density functional theory of water [G. Jeanmairet et al., J. Phys. Chem. Lett. 4, 619, 2013] to the solvation of hydrophobic solutes of various sizes, going from angstroms to nanometers. The theory is based on the quadratic expansion of the excess free energy in terms of two classical density fields, the particle density and the multipolar polarization density. Its implementation requires as input a molecular model of water and three measurable bulk properties, namely the structure factor and the k-dependent longitudinal and transverse dielectric susceptibilities. The fine three-dimensional water structure around small hydrophobic molecules is found to be well reproduced. In contrast the computed solvation free-energies appear overestimated and do not exhibit the correct qualitative behavior when the hydrophobic solute is…
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.
