A time-stepping physics-informed neural network solves a high-dimensional parametric space of steady laminar airfoil flows in one 4.6-day run, with 4.6% lift and 1.1% drag errors versus reference simulations.
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Solving all laminar flows around airfoils all-at-once using a parametric neural network solver
A time-stepping physics-informed neural network solves a high-dimensional parametric space of steady laminar airfoil flows in one 4.6-day run, with 4.6% lift and 1.1% drag errors versus reference simulations.