Symbolic and domain-generalized machine learning for interpretable solubility modeling in supercritical CO₂

Accurate prediction of drug solubility in supercritical CO remains challenging due to the limited generalizability of compound-specific correlations and the black-box nature of most machine learning … [+1313 chars]