An artificial-compressibility relaxation lets PINNs solve smooth incompressible flows with sub-0.5% velocity error, while vortex shedding is only recovered when sparse data from a finite-element reference is assimilated.
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An Artificial-Compressibility Physics-Informed Neural Network for the Unsteady Incompressible Navier--Stokes Equations
An artificial-compressibility relaxation lets PINNs solve smooth incompressible flows with sub-0.5% velocity error, while vortex shedding is only recovered when sparse data from a finite-element reference is assimilated.