Physical AI exploration by a CAE engineer: MeshGraphNet, FNO, PyG experiments. Companion code for the "AI Demystification" series.
-
Updated
Apr 6, 2026 - Python
Physical AI exploration by a CAE engineer: MeshGraphNet, FNO, PyG experiments. Companion code for the "AI Demystification" series.
Graph neural network surrogates for crash simulation: autoregressive deformation prediction with MeshGraphNets and MGN-T, from raw FE data to evaluation, in a lean PyTorch framework. Evaluated on deforming_plate and a bumper beam crash.
Casting solidification GNN pipeline: STEP to healed CAD, Gmsh mesh, predicted solidification time, hot spots and shrinkage screening. The model is on Hugging Face (eugenmik/castsolid-gnn), Apache-2.0.
MeshGraphNet-style graph neural network (PyTorch) that predicts stress fields, natural frequency and fatigue life of FE bracket models
CFD-trained MeshGraphNet engineering portfolio for offline 3D heat-sink temperature-field prediction.
Physics-informed MeshGraphNet surrogate for operational storm surge forecasting
To associate your repository with the meshgraphnet topic, visit your repo's landing page and select "manage topics."