Generative Modeling Framework for Designing Diverse Truss Metamaterials with Tailored Linear and Nonlinear Mechanical Properties

A graph-based deep learning generative framework is introduced to construct a reduced, continuous latent representation covering an enormous range of truss metamaterial designs, enabling the fast generation of new structures and the inverse design of trusses with customized linear and nonlinear mechanical properties.