We present a review and thorough assessment of recent advances and applications of
group-contribution methods (GCMs) implemented in the Statistical Associating Fluid Theory …

In this paper, we present a systematic review of the perturbed-chain statistical associating
fluid theory equation of state (PC-SAFT) EoS for thermodynamic modeling with application in …

In this study, we introduced an artificial neural network (ANN), which can represent objects
that are difficult to formulate, rather than the integrated model of the group contribution …

The SAFT and cubic models are often compared in the open literature. Usually, limitations
and strengths of both types of equations of state (EoSs) are ascribed to their theoretical …

This study compares the estimations of two predictive approaches, namely, CP-PC-SAFT
and CS-SAFT-VR-Mie for vapor pressures, saturated and high-pressure densities, sound …

New experimental high-temperature, high-pressure (HTHP) density data of two
alkanolamines, namely 2-(dimethylamino) ethanol and 2-(diethylamino) ethanol was …

A priori calculation of thermophysical properties and predictive thermodynamic models can
be very helpful for developing new industrial processes. Group contribution methods link the …

In this study, simple molecular-weight-based correlations for the CP-PC-SAFT parameters
for [C n mim][NTf2] ionic liquids have been developed. These correlations allow a nearly …

Heat capacities are fundamental properties of fluids for heat transfer applications. Accurate
data can be generally obtained by experimental methods, which are usually expensive …

The lack of a transparent and universal parameterization method is one of the main
problems in developing SAFT-type equations of state and it's an obstacle in their way of …