Complementary, not cumulative: interaction effects in physics-informed neural networks for Navier–Stokes vortex shedding
Read the original at arxiv.org→arXiv:2608.19632v1 Announce Type: new Abstract: Physics-informed neural networks (PINNs) embed governing partial differential equations directly into the training loss, offering a promising alternative to costly CFD...
Original headline: "Complementary, Not Cumulative: Interaction Effects in Physics-Informed Neural Networks for Navier-Stokes Vortex Shedding"
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- Aug 21, 04:00 UTC arXiv cs.LG lead source Complementary, Not Cumulative: Interaction Effects in Physics-Informed Neural Networks for Navier-Stokes Vortex Shedding