Topology-aware operators for physical ML

Encoding geometry into the operator itself can make physical ML both faster and more accurate

1/ Stop treating physical fields as simple point clouds. Potential lives on vertices, flux on faces. Forcing GNNs to "learn" these geometries is why physical ML models struggle on complex meshes. A new class of operators fixes this by rou