Improved prediction of solvation free energies by machine-learning polarizable continuum solvation model

Accurate theoretical evaluation of solvation free energy is challenging. Here the authors introduce a machine-learning based polarizable continuum solvation approach to improve the accuracy of widely accepted continuum solvation models by almost one order of magnitude without additional computationa...

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Bibliographic Details
Main Authors: Amin Alibakhshi, Bernd Hartke
Format: Article
Language:English
Published: Nature Publishing Group 2021-06-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-021-23724-6