Abdallah el hadj, A. published the artcileAI-PCSAFT approach: New high predictive method for estimating PC-SAFT pure component properties and phase equilibria parameters, Computed Properties of 169590-42-5, the publication is Fluid Phase Equilibria (2022), 113297, database is CAplus.
In this work, a new approach based on the association of Artificial intelligence method (AI) and PC-SAFT equation of state is applied to conceive a model for estimating the solubility of solid drugs in supercritical carbon dioxide. Neuro-equation of state approach (NES) is the new technique that takes benefit from the advantages of both ANN and PC-SAFT equation of state. The new method decomposes into three main stages, first the optimization of direct ANN for predicting solids-scCO2 phase equilibrium (where 15 binary systems are used), then the ANN inverse is performed to be an alternative to group contribution methods (GCMs) for estimating the pure components and phys. properties (reduce the uncertainty committed in estimating these properties) and enhance the PCSAFT equation of state to estimate phase equilibrium parameters and finally, ANN-PCSAFT approach is used to estimate the solubility of 213 solid solutes in supercritical carbon dioxide. The performance strategy has been carried out using a linear regression anal. of the predicted vs. exptl. outputs, as an indication of the predictive ability of the developed method. The new approach is successfully applied to the phase equilibrium modeling for 213 binary systems with high accuracy (the comparison in terms of average absolute relative deviation (AARD %) showed a variation from 2 to 6%) and allowed to enhance the phase equilibrium modeling by reducing the number of optimized parameters and surpass the main drawbacks faced in this area mainly the non-availability of phys. properties and EOS pure component properties and the limitation of the equation of state.
Fluid Phase Equilibria published new progress about 169590-42-5. 169590-42-5 belongs to amides-buliding-blocks, auxiliary class Sulfamide,Immunology/Inflammation,COX, name is 4-(5-(p-Tolyl)-3-(trifluoromethyl)-1H-pyrazol-1-yl)benzenesulfonamide, and the molecular formula is C17H14F3N3O2S, Computed Properties of 169590-42-5.
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