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cs.LG2026
PACE-FNO: Physics-Aligned Canonical Equivariance for Fourier Neural Operators
Jiaxiao Xu, Changhong Mou, Yeyu Zhang +1
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 coordinat…
cs.LG2025
PIP Net: Physics-informed Partition Penalty Deep Operator Network
Hongjin Mi, Huiqiang Lun, Changhong Mou +1
Operator learning has become a powerful tool for accelerating the solution of parameterized partial differential equations (PDEs), enabling rapid prediction of full spatiotemporal…