UNOP: Physics-Constrained Unsupervised Neural Operator for Long-Horizon PDE Learning on Generalized Geometries
This work presents a physics-constrained un-supervised neural operator for long-horizon PDE learning on generalized geometries (UNOP), which replaces differential constraints with integral consistency for stable, label-free learning.