Physical AI exploration by a CAE engineer: MeshGraphNet, FNO, PyG experiments. Companion code for the "AI Demystification" series.
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Apr 6, 2026 - Python
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meshgraphnet
Here are 5 public repositories matching this topic...
Learned crash deformation prediction with graph neural networks: an independent, open-source PyTorch research workflow from FE simulation data to autoregressive rollout. MeshGraphNets and MeshGraphNet-Transformer (MGN-T), contact edges, fair architecture comparison. Validated on DeepMind's deforming_plate.
deep-learning pytorch fem cae structural-mechanics finite-element-method graph-neural-networks pytorch-geometric gnn scientific-machine-learning surrogate-model crash-simulation ai4science learned-simulation meshgraphnet meshgraphnets physics-ml crashworthiness mgn-t
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Oct 26, 2026 - Python
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.
casting foundry solidification graph-neural-networks pytorch-geometric scientific-machine-learning surrogate-model fenicsx meshgraphnet
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Oct 10, 2026 - Python
CFD-trained MeshGraphNet engineering portfolio for offline 3D heat-sink temperature-field prediction.
vtk heat-transfer computational-fluid-dynamics thermal-analysis pytorch-geometric graph-neural-network surrogate-model pyvista meshgraphnet engineering-ai
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Jul 31, 2026
Physics-informed MeshGraphNet surrogate for operational storm surge forecasting
deep-learning pytorch noaa storm-surge graph-neural-network surrogate-model meshgraphnet ocean-modeling
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Jul 1, 2026 - Python
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