most citedGuiding diffusion models to reconstruct flow fields from sparse data

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cs.AI2026

Geometry Meets Physics: Data-Efficient Pre-Training for Unstructured Neural PDE Solvers

Luis Medrano-Navarro, Giacomo Baldan, Qiang Liu +4

Neural surrogate models for Partial Differential Equations (PDEs) on unstructured 3D geometries are often limited by poor generalization and the high cost of generating large-scale…