POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations
Article in Advanced Modeling and Simulation in Engineering Sciences (March 2023)
The most recent citing publications are shown below. View all 11 publications that cite this research output on Dimensions.
POD-Galerkin reduced order models and physics-informed neural networks for solving inverse problems for the Navier–Stokes equations
Preprint in Research Square (August 2022)
Reduced basis methods for time-dependent problems
Article in Acta Numerica (May 2022)