4.6 Article

Refinement of COSMO-SAC and the applications

Journal

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
Volume 46, Issue 22, Pages 7275-7288

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/ie070465z

Keywords

-

Ask authors/readers for more resources

In dielectric continuum solvation models (CSMs), the solvation free energy is essential for accurate calculation of the then-nodynamic properties of liquids and liquid mixtures. Here, we present a refinement to the COSMOSAC (where SAC denotes segment activity coefficient) model to calculate the solvation free energy, using statistical thermodynamics and information from quantum mechanics. After the surface charge density for each pure compound has been obtained from a one-time quantum mechanics calculation, the COSMO-SAC model with 23 parameters can be used to predict both pure and mixture thermodynamic properties of almost any nonmetallic molecule in a computational time comparable to that of group contribution methods, but without their hundreds of functional-group-specific parameters. Combining perturbation theory and a mean field model for the van der Waals (vdW) free-energy calculation, this COSMO-SAC model can be used to predict the properties of pure compounds. The overall deviation in vapor pressure for 1432 compounds is similar to 63%, and that in the normal boiling temperature prediction is similar to 20 K; these values are comparable to those of group contribution methods, which require a much larger set of parameters. This model can also be used to predict activity coefficients in mixtures with the same parameters, and here we have calculated vaporliquid equilibria for more than 500 binary systems with over 8000 experimental data points, and for seven ternary systems. For these systems, the overall average deviation in'vapor-phase compositions is 2.14%, and the deviation in total pressure at a fixed liquid composition is 6.03%.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available