PACE-FNO: Physics-Aligned Canonical Equivariance for Fourier Neural Operators
Neural operators are often tested on states that differ physically from training data. A distinct failure occurs when the physical dynamics are unchanged but the observed coordinate frame differs from training. PACE-FNO addresses this case by estimating the frame, predicting after pulling the field to a canonical repre...
Jia-Xi Xu, Chang-Hong Mou, Ye-Yu Zhang et al.
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