In addition to QM descriptors, other descriptors have also been applied to predict reaction outcomes. For example, Denmark et al. used average steric occupancy (ASO) and ESPMAX descriptors to predict high-selectivity ligands in asymmetric N,S-acetal formation using chiral phosphoric acid (CPA) catalyst. Grzybowski et al. found that Hammett and TSEI descriptors worked well in predicting major regio-, site-, and diastereoselective products of Diels-Alder (DA) reaction. They also tried to predict reaction yield (high or low) using simple RDKit and chemical-linguistic descriptors, which gave unsatisfied results. Glorius et al. used multiple fingerprint features, the traditional molecular representation used in QSAR studies, for different reaction tasks and achieved comparable results. Luo et al. combined fingerprint and physicochemical descriptors for reaction prediction. However, these descriptors are not easy to interpret nor generalize well outside the training reaction space except the Hammett and TSEI descriptors.