At the process level, for each CRAFTED-u MOF, the uncertainty between Pareto fronts that emerges from the use of different molecular FFs to generate the adsorption data as input, is quantified using the hypervolume. The hypervolume, 𝜉, measures the area enclosed by all solutions on the Pareto front and a user-defined reference point 𝑟. We measure 𝜉 by querying 𝑁 = 10 4 uniformly distributed random points within the Pareto phase space bounded by 𝑟, where 𝑟 is determined such that the entire Pareto front for every FF is covered in the sampling. The difference in hypervolumes between FFs 𝑖 and 𝑗, which we call the hypervolume error ∆𝜉 , is taken as the uncertainty measure for a single material. The process of calculating ∆𝜉 is visually represented in Figure . Now, in order to quantify the global uncertainties between two different FFs 𝑖 and 𝑗 across all CRAFTED-u MOFs, we must determine a single numerical value from the full distribution of ∆𝜉 values. We take the mean of the hypervolume error distribution, ∆𝜉 , as the indicative metric of global uncertainty. Qualitatively we would also like to understand if FF 𝑖 has a propensity to generate adsorption behaviours that produce better process performances overall compared to FF 𝑗. Establishing this connection between the adsorption behaviours and process-level responses helps to reveal the biases in performances that may arise in particular FFs. We therefore introduce a normalised metric, 𝛯 , to understand the general process-level behaviours of different FFs across many materials which may dominate different areas of KPI phase space. The protocol for calculating 𝛯 for FF 𝑖 is as follows. For a single MOF, six Pareto fronts are generated for each of the six possible FFs.