2021
DOI: 10.1021/acs.iecr.1c00072
|View full text |Cite
|
Sign up to set email alerts
|

Application of Quantum Chemistry Insights to the Prediction of Phase Equilibria in Associating Systems

Abstract: Thermodynamic models that explicitly account for association have become essential tools for correlating and predicting multiphase equilibria. These models have many adjustable parameters, which create difficulties for uniquely fitting experimental data. Reducing the number of adjustable parameters is an important pathway to increase the reliability and extrapolation power of thermodynamic models for practical applications. In this work, we revisit the relationship between the chemical and perturbation theorie… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
4
2

Relationship

0
6

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 74 publications
(126 reference statements)
0
4
0
Order By: Relevance
“…The effects of solvation are often predicted by a mean field technique. Recent quantum calculations show that hydrogen bonding is cooperative, changing with cluster size and complicating determination of the “best” TPT1 parameter values. , The enthalpy of hydrogen bonding can be discerned, but accurate determination of the entropy of bonding needed for an association constant is elusive …”
Section: Inferring Parameters For Association Modelsmentioning
confidence: 99%
See 3 more Smart Citations
“…The effects of solvation are often predicted by a mean field technique. Recent quantum calculations show that hydrogen bonding is cooperative, changing with cluster size and complicating determination of the “best” TPT1 parameter values. , The enthalpy of hydrogen bonding can be discerned, but accurate determination of the entropy of bonding needed for an association constant is elusive …”
Section: Inferring Parameters For Association Modelsmentioning
confidence: 99%
“…Information beyond density and vapor pressure is needed for confident determination of association parameters. Determination of bonding energy is more advanced from first-principles (quantum) than the bonding volume Practitioners prefer models for association strength that do not require correlation of significant quantities of pure component data to obtain size/shape parameter values or methods to estimate the pure component size/shape parameters. Progress continues to be made for association of small non-electrolytes.…”
Section: Summary and Development Needsmentioning
confidence: 99%
See 2 more Smart Citations