Astraea Software has pioneered a powerful surrogate model that combines Graph Convolutional Networks (GCN) with Physics-Informed Neural Networks (PINNs), featuring an innovative AI model architecture. This GCN+PINNs model has undergone rigorous performance validation, demonstrating its effectiveness in accurately modeling complex geometries that standard parameters like height and width cannot define. The model seamlessly uses FEM mesh models as input, making it a top choice for tackling intricate geometric challenges.
For detailed performance results, please see the validation report in the PDF provided.
