Parameterization of the SAFT thermodynamic model using machine learning
The use of biomass appears as a promising alternative for the synthesis of a various families of strong value-added chemicals, which can be used in the manufacture of products. Product issued from the biomass are mainly composed of oxygenated molecules, but the models and methods traditionally used in the petrochemical industry have historically been developed to restore properties of hydrocarbons. The design of new manufacturing processes requires methods for rapid and accurate estimation of physicochemical properties of interest in the chemical industry.