most citedSolution multiplicity and effects of data and eddy viscosity on Navier-Stokes solutions inferred by physics-informed neural networks

10 citations · 10 across the 1 of their papers we have counts for

collaborators

1 paper

physics.flu-dyn2023★ 10 cited

Solution multiplicity and effects of data and eddy viscosity on Navier-Stokes solutions inferred by physics-informed neural networks

Zhicheng Wang, Xuhui Meng, Xiaomo Jiang +2

Physics-informed neural networks (PINNs) have emerged as a new simulation paradigm for fluid flows and are especially effective for inverse and hybrid problems. However, vanilla PI…