A comprehensive approach to incorporating intermolecular dispersion into the openCOSMO-RS model. Part 2: Atomic polarizabilities

TL;DR

This paper enhances the openCOSMO-RS thermodynamic model by integrating atomic polarizabilities to improve dispersion interaction predictions, resulting in higher accuracy across diverse chemical systems with fewer adjustable parameters.

Contribution

Introduces a new dispersion term based on atomic polarizabilities into openCOSMO-RS, improving accuracy and reducing parameters compared to previous methods.

Findings

Outperforms previous dispersion models in accuracy.

Effective across a dataset of over 50,000 data points.

Atomic polarizability is a valuable descriptor for dispersion interactions.

Abstract

openCOSMO-RS is an open-source predictive thermodynamic model that can be applied to a broad range of systems in various chemical and biochemical engineering domains. This study focuses on improving openCOSMO-RS by introducing a new dispersion term based on atomic polarizabilities. We evaluate different methods for processing polarizability data, including scaling and combining it to compute segment-segment dispersion interaction energies, with a focus on halocarbon systems. The results demonstrate that the modified model outperforms our previous method developed in the first part of this work (Grigorash et al., 2024) , while at the same time requiring fewer adjustable parameters. The approach was applied to a broad dataset of over 50,000 data points, consistently increasing the accuracy across a variety of data types. These findings suggest that atomic polarizability is a valuable descriptor for refining dispersion interactions in predictive thermodynamic models.