Precomputed hierarchical geometry tokens plus a decoupled decoder enable competitive neural PDE accuracy on industrial 3D meshes exceeding 10M nodes with linear memory scaling.
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PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-scale Physics Simulations
Precomputed hierarchical geometry tokens plus a decoupled decoder enable competitive neural PDE accuracy on industrial 3D meshes exceeding 10M nodes with linear memory scaling.