Mining extremal property from a large 2D truss metamaterial database

Our project aims to explore the design space of truss metamaterials. Truss metamaterials attract considerable interest for their exceptional performance and prospects for engineering applications. These databases are generated by a generic method under potential publication. These databases comprise over 1.8 million distinctive entries, especially including numerous unprecedented metamaterials. These databases will strongly advance the emerging data-driven design strategies. <strong>Dataset S1 (.csv format).</strong> Entire architecture database of the designed metamaterials, including coordinates of flattened node-sets and elements of flattened adjacency matrices within building blocks.<strong>SubDataset for archiectures in eleven metamaterial groups ("group name"-features.csv).</strong> Eleven separated databases correspond to eleven metamaterial groups for convenient access. <strong>Dataset S2 (.csv format).</strong> Entire mechanical property database including Young’s moduli, Poisson’s ratios, shear modulus and isotropy index.<strong>SubDataset for mechanical properties in eleven metamaterial groups ("group name"-mechanical property.csv).</strong> Eleven separated databases correspond to eleven metamaterial groups for convenient access. <strong>The dataset is intended for reviews of potential publications and should not be cited or used before public publication.</strong>