Fig. 1: Pair representations allow differentiation of enantiomers.
From: Predictive design of crystallographic chiral separation
Our framework focuses on the representation of the acid-base pair, where differences between the two enantiomers naturally arise. A machine learning model uses the representations of both diastereomeric salts to predict the probability of success for a given resolution experiment.
