Predicting solvation free energies for neutral molecules in any solvent with openCOSMO-RS
Simon M\"uller, Thomas Nevolianis, Miquel Garcia-Rat\'es, Christoph, Riplinger, Kai Leonhard, Irina Smirnova

TL;DR
This paper introduces openCOSMO-RS 24a, an improved open-source model for accurately predicting solvation free energies and related properties of neutral molecules in any solvent, enhancing computational chemistry tools.
Contribution
The paper presents openCOSMO-RS 24a, an improved parameterization and a new command line interface, enabling more accurate and accessible predictions of solvation free energies and other liquid-phase properties.
Findings
Achieves 0.45 kcal/mol average deviation in solvation free energies.
Provides predictions for partition coefficients and activity coefficients with high accuracy.
Offers a user-friendly command line interface integrated with ORCA 6.0.
Abstract
The accurate prediction of solvation free energies is critical for understanding various phenomena in the liquid phase, including reaction rates, equilibrium constants, activity coefficients, and partition coefficients. Despite extensive research, precise prediction of solvation free energies remains challenging. In this study, we introduce openCOSMO-RS 24a, an improved version of the open-source COSMO-RS model, capable of predicting solvation free energies alongside other liquid-phase properties. We parameterize openCOSMO-RS 24a using quantum chemical calculations from ORCA 6.0, leveraging a comprehensive dataset that includes solvation free energies, partition coefficients, and infinite dilution activity coefficients for various solutes and solvents at 25 {\deg}C. Additionally, we develop a Quantitative Structure-Property Relationships model to predict molar volumes of the solvents,…
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Taxonomy
TopicsFree Radicals and Antioxidants · Various Chemistry Research Topics · Computational Drug Discovery Methods
