Once the ML models are trained and achieve good performance, we then screen over nine million hypothetical polymers (summarized in Table ) to predict their gas permeabilities, in Step 4. Our screening predictions are then used to identify promising polymer candidates with high permeability and selectivity. The code and datasets for our ML implementation can be found at .