Generative Design of Energy‐Absorbing Auxetic Metamaterials via Variational‐Autoencoder Latent‐Space Exploration and Nonlinear Finite‐Element Screening
Auxetic cellular structures, which exhibit a negative Poisson's ratio, are conventionally designed manually, one topology at a time. This paper presents a generative design framework in which a convolutional variational autoencoder (VAE) with a low computational cost, trained on 31,920 solid isotropic material with pen...