New standard deviation of the pore size distribution (PSSD), and the inverse framework density (IFD). These 3445 MOFs were the dataset MOFs from two previous studies. These MOF properties were chosen due to their deemed importance in predicting adsorption. The resulting principal components can be effectively interpreted as representative descriptors that capture the prevailing patterns and variabilities in the textural properties of the MOFs. Figure shows that the first two principal component directions (PC1 and PC2) account for 91% of the cumulative variance, suggesting they are sufficient for the AL to meaningfully navigate the MOF space. Formally, the inclusion of the MOF into the AL process makes it so that 𝑁~𝐹(𝑓, 𝜀, 𝜎, 𝑙, 𝑞, 𝑃𝐶1, 𝑃𝐶2).