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• W4295982017 abstract "A new model for correlating self-diffusion coefficients is proposed here. It is based on the entropy scaling concept and makes it possible to quantitatively estimate self-diffusion coefficients in any fluid state (subcritical gas and liquid as well as supercritical states). A general relationship between a dimensionless form of the self-diffusion coefficient and a function of the Tv-residual entropy is proposed. This relationship involves thermodynamic properties that were straightforwardly estimated using the I-PC-SAFT and tc-PR equations of state (EoSs). First, the proposed model was parameterized using component-specific parameters. To do so, 72 pure components and ∼2400 pieces of experimental data were considered. Second, a chemical-family parametrization method was used. Four chemical families were defined, and parameter sets valid for all of the compounds of a given family were estimated. Regardless of the considered EoS, the component-specific parametrization enables us to describe data with an average deviation of 7.5%, while when using a chemical-family parametrization, this deviation reaches 9.5%." @default.
• W4295982017 created "2022-09-16" @default.
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• W4295982017 date "2022-09-07" @default.
• W4295982017 modified "2023-10-10" @default.
• W4295982017 title "Entropy Scaling-Based Correlation for Estimating the Self-Diffusion Coefficients of Pure Fluids" @default.
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• W4295982017 doi "https://doi.org/10.1021/acs.iecr.2c01086" @default.
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