Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning

Akshay Thakur, Matthew J. Zahr

The Riemann problem is fundamental in the computational modeling of hyperbolic partial differential equations, enabling the development of stable and accurate upwind schemes. While…