To achieve the goal of finding these MOFs, we used IPs and different acquisition strategies: GP STD, EI, and PI. Each method targeted a distinct aspect of the property space. While EI and PI aimed at high-performing regions, STD prioritized exploration by targeting MOFs with higher predictive uncertainty. In contrast, the IP method, designed to maximize coverage, ensured that the selected MOFs captured the full structural and property diversity of the broader dataset. These varied approaches allowed us to explore both performance extremes and structural uniqueness within the MOF database.