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:EN
Published: Nature Portfolio 2021
Subjects:
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Online Access:https://doaj.org/article/b437c0c0f0cc4539b1ced73dce0c8ccf
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