One promising application of the model is isotherm interpolation, a task for which models can be expected to perform well even on the limited data set size we have in comparison to the group split. The ethylene ANN model performs very well when some information about the isotherm is included in the training set for both the ethane and ethylene datasets (Figure ). When trained on a random split of only 20% of the K-C2 dataset, the model achieves highly accurate predictions with test set R 2 over 0.99 for both adsorbates. We note that some data points appear to correspond to a flat line across the parity plot. These points are caused by MOFs with exceptionally steep isotherms at low pressures where the uptake increases dramatically with an incremental change in pressure, so any error is somewhat exaggerated compared to most predictions (Supporting Information Figure ). These MOFs (UiO-66 and PCP-33) are both noted in the literature for high gas uptakes, especially at low pressures. Those structures aside, we highlight that we are able to accurately capture the shape of the isotherm across diverse structures when a small amount of data from the isotherm is used during training. As such, the model could be useful for understanding why some structures favor one mode of adsorption over another. The preliminary model could also be used to speed the rate at which additional experimental data is gathered by significantly reducing the number of experimental data points required to characterize the adsorption behavior. Green crosses correspond to the experimental data and purple plus signs to the interpolated model predictions. Insets show the CCDC refcode of the associated structure and the mean average error (MAE) of the interpolated predictions. Both isotherms were measured at 298 K. We note that only experimental points shown here without an associated prediction at the same pressure value were used in training, but we show these points here to highlight the high accuracy of the predicted values. Atom colors are gray (C), red (O), light purple (N), dark green (Cl), orange (Cu), and light green (Ti).