Robeson upper bound . Additionally, the ultra-high permeability polymers discovered in this work would allow for never-before-seen industrial gas separations with higher throughput while maintaining sufficient selectivity. Incredibly, the DNN model can extrapolate relatively accurately to high permeability predictions that it did not see in training. We believe that this amazing performance primarily arises from careful selection of diverse training samples and training with a neural network that can capture complexities but also generalizations through multitask parameter sharing and ensembling.