Deep learning for size-agnostic inverse design of random-network 3D printed mechanical metamaterials

Helda Pahlavani, Kostas Tsifoutis-Kazolis, Prerak Mody +3

Practical applications of mechanical metamaterials often involve solving inverse problems where the objective is to find the (multiple) microarchitectures that give rise to a given…