Data-driven modeling of supercritical CO₂ processing with optimized machine learning: prediction of clobetasol propionate solubility
Machine learning can be used to support data-driven modeling of supercritical CO₂ processing. The method of machine learning modeling is applied in this work for evaluation of small-molecule processing under supercritical conditions. As a necessary step, the solute solubility in the solvent is evaluated via different m...