The data representation of MOFs for inverse design is crucial for successfully developing our reinforcement learning framework, as illustrated in Fig. . Each MOF structure in our database is represented by a unique combination of metal clusters, organic linkers, and topologies. We used PORMAKE , a Python library that constructs porous materials from given building blocks with various topologies.