To illustrate the distribution aluminium environments in the database across multiple zeolite types, we projected the highdimensional Al-centered smooth overlap of atomic positions (SOAP) vectors to two dimensions using the t-distributed stochastic neighbor embedding (t-SNE) method, as shown in Fig. . The t-SNE visualization demonstrates that while CHA data cover a larger portion of the configuration space, it fails to densely cover some of the MOR and MFI-relevant Al-based configurations. Clearly, the MOR structures consistently cluster closer to MFI structures, indicating a higher similarity between MOR and MFI zeo-lites. This observation can be further quantified by calculating the similarity of Al-centered SOAP descriptors averaged over the zeolite topology in question. The similarity K 18 is computed using the normalized dot product of the averaged SOAP descriptors of aluminium environments χ, as described by the following equation: