AI RESEARCH
Curriculum Learning of Physics-Informed Neural Networks based on Spatial Correlation
arXiv CS.LG
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ArXi:2605.15254v1 Announce Type: new Physics-Informed Neural Networks (PINNs) combine deep learning with physical constraints for solving partial differential equations (PDEs), and are widely applied in fluid mechanics, heat transfer, and solid mechanics. However, PINN