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Ngai Wong

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Conference Open access Sep 2026

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.

Xin-Rui Cheng, Tian-Qi Zhao, Zhao-Dong Zhang et al. · 0 citations

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