TY - JOUR
T1 - A comprehensive approach to incorporating intermolecular dispersion into the openCOSMO-RS model. Part 2
T2 - Atomic polarizabilities
AU - Grigorash, Daria
AU - Müller, Simon
AU - Heid, Esther
AU - Neese, Frank
AU - Liakos, Dimitrios G.
AU - Riplinger, Christoph
AU - Garcia-Ratés, Miquel
AU - Paricaud, Patrice
AU - Stenby, Erling H.
AU - Smirnova, Irina
AU - Yan, Wei
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2026/1/1
Y1 - 2026/1/1
N2 - 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.
AB - 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.
KW - COSMO-RS
KW - Dispersion
KW - Parametrization
KW - Polarizability
UR - https://www.scopus.com/pages/publications/105011092852
U2 - 10.1016/j.ces.2025.122170
DO - 10.1016/j.ces.2025.122170
M3 - Article
AN - SCOPUS:105011092852
SN - 0009-2509
VL - 319
JO - Chemical Engineering Science
JF - Chemical Engineering Science
M1 - 122170
ER -