Sameer Alshehri

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

A domain-aware symbolic regression framework that discovers closed-form analytical expressions for ln(y), enabling interpretable and transferable solubility modeling across chemically diverse pharmaceutical compounds and demonstrates that domain-aware learning and symbolic discovery can jointly address the dual challen...