Victor Oancea

PGD-NO: A Neural Operator with Precomputed Geometry Decomposition for 3D Million-Scale physics simulations

While neural PDE solvers have demonstrated significant potential for accelerating engineering simulations, existing architectures remain constrained by high memory consumption and the "single-node bottleneck," where the maximum processable mesh resolution is strictly limited by the VRAM of a single …