Rapid and Accurate Homogenization of Complex Periodic Materials using a Neural Operator Foundation Model

The proposed HomoGenius model can quickly and accurately predict the effective mechanical properties of complex periodic materials, such as Triply Periodic Minimal Surfaces (TPMS), by integrating operator learning techniques into the homogenization process.