Similarity Equivariant Graph Neural Networks for Homogenization of Metamaterials

arXiv:2404.17365v1 Announce Type: cross
Abstract: Soft, porous mechanical metamaterials exhibit pattern transformations that may have important applications in soft robotics, sound reduction and biomedicine. To design these innovative materials, it is important to be able to simulate them accurately and quickly, in order to tune their mechanical properties. Since conventional simulations using the finite element method entail a high computational cost, in this article we aim to develop a machine learning-based approach that scales favorably to serve as a surrogate …

abstract applications arxiv biomedicine cond-mat.soft cs.ai cs.lg design graph graph neural networks materials networks neural networks pattern robotics simulations soft robotics sound them type