Uncovering Highly Selective Catalysts Using AI
A new study illustrated a machine learning strategy that uses sophisticated but efficient two-dimensional molecular descriptors to reliably predict highly selective asymmetric catalysts without quantum chemical computations.
Source: azorobotics.com