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Operator-informed initialization for Fourier Feature PINNs directly combats spectral bias by tailoring weight distributions to the PDE's differential operator, leading to balanced frequency convergence and improved accuracy.
A foundation model trained on a million hours of geophysical data crushes operational weather forecasts while slashing compute costs.