Predicting Small Molecules Solubility Using Deep Ensemble Neural Networks

The author employs a deep learning model with predictive uncertainty to predict small molecules' solubilities efficiently and accurately on endpoint devices. The approach focuses on balancing uncertainty and ease of use in molecular property prediction models.