AI RESEARCH
Guaranteeing Conservation of Integrals with Projection in Physics-Informed Neural Networks
arXiv CS.LG
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ArXi:2511.09048v2 Announce Type: replace We propose a novel projection method that guarantees the conservation of integral quantities in Physics-Informed Neural Networks (PINNs). While the soft constraint that PINNs use to enforce the structure of partial differential equations (PDEs) enables necessary flexibility during