Machine learning-based prediction and inverse design of 2D metamaterial structures with tunable deformation-dependent Poisson's ratio

An integrated approach including MD simulation and ML algorithm is formulated to predict the dynamic features of Poisson's ratio and offer inverse design of a metamaterial structure upon a target quasi-continuous Poisson's ratio-deformation curve.