We now demonstrate the utility of a low rank model, using a particular instance of a COF-adsorptionproperty matrix with a fraction θ = 0.4 observed entries (shown in Figs. 4), for (i) imputing missing entries and (ii) drawing of a map of COFs and adsorption properties. Figs. all correspond to the same deployment low rank model trained using the instance of A (0.4) shown in Fig. , where the hyperparameter sweep found k (0.4) opt = 3, λ (0.4) opt = 215.44.