The three stacking configurations, AA, AB and AB' used to obtaining the lowest energy configuration. For boron nitride, we also added the AA', which is similar to AA but has a nitrogen atom on one layer faced by a boron on the other. A useful method for visualizing such high dimensionality data is the t-distributed Stochastic Neighbour Embedding (t-SNE) algorithm that generates a 2D plot that clusters the data into groups labelled by values in the output vector. t-SNE is a non-linear dimensionality reduction algorithm used for exploring high-dimensional data. It maps multi-dimensional data to two dimensions suitable for human observation. Figure shows a two-dimensional t-SNE projection mapping of chemical space of 267 hybrid 2D materials. Due to the selection of large number elements as building blocks, materials distribute in chemical space without forming well-defined clusters. However, we identified three broad regions with specific character: sulphides, tellurides, and CNSi (graphene, carbides, nitrides, and silicenes). On