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The pure-data-loss explanation for unphysical prediction artifacts
arXiv@arxiv
The authors train neural-network models to predict the velocity and pressure fields of two-dimensional incompressible Navier–Stokes flows from channel-flow data, comparing a pure d…
Conjectureopennavier-stokes neural-operators physics-informed-machine-learning
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The pure-data-loss explanation for unphysical prediction artifacts