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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao AIChE Journalarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
AIChE Journal
Article . 2018 . Peer-reviewed
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An open and extensible sigma‐profile database for COSMO‐based models

Authors: F. Ferrarini; G. B. Flôres; A. R. Muniz; R. P. de Soares;

An open and extensible sigma‐profile database for COSMO‐based models

Abstract

COSMO‐based activity coefficient models have become an interesting alternative to the prediction of the behavior of substances in mixture. These models depend on the pure substance information known as sigma‐profile. The present work aims to create and freely distribute a sigma‐profile database for a wide range of molecules using the GAMESS software. Different quantum chemistry theories for the calculation of the electronic structure and basis sets were tested, in order to define an accurate and efficient approach for computing the profiles. To check the accuracy of the profiles obtained, infinite dilution activity coefficients calculated by the COSMO‐SAC model were compared with experimental data for binary mixtures. Among the studied alternatives, the Hartree‐Fock method with the TZVP basis set led to results with the best agreement with the experimental data, within a reasonable computational cost. Using this approach, a database was created based solely free computational tools. © 2018 American Institute of Chemical Engineers AIChE J, 64: 3443–3455, 2018

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
84
Top 1%
Top 10%
Top 10%
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