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Dynamic Kuramoto-Hodge Operators for PDEs on Complex Geometries and Topologies
Learning PDE operators on complex domains requires capturing interactions among fields on vertices, edges, and faces, alongside global responses shaped by topology. Existing neural operators accommodate irregular geometries but often overlook these distinct field supports or their condition-dependen
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