Inverse design of Bézier curve-based mechanical metamaterials with programmable negative thermal expansion and negative Poisson's ratio via a data augmented deep autoencoder

Abstract

We introduce a novel deep learning-based inverse design framework with data augmentation for chiral mechanical metamaterials with a Bézier curve-shaped bi-material rib realizing a wide range of negative thermal expansion and negative Poisson's ratio.