Determining whether a specific mechanical metamaterial design will deform as intended is easy to compute; identifying which designs do so among more than a billion possibilities is not. Neural networks can dramatically accelerate this classification, even when trained on only a tiny fraction of the design space. In this paper published in Physical Review Letters,…