In light of this, we trained a surrogate ML model that directly predicts the RSE using only 2D information available in SMILES. This model eliminates the need for 3D structures and thermodynamic calculations, offering an ultra-fast method for predicting RSE. We extracted the model embeddings of the molecules to understand the model performance.