Transported Memory Networks accelerating Computational Fluid Dynamics

Matthias Schulz, Gwendal Jouan, Daniel Berger +2

In recent years, augmentation of differentiable PDE solvers with neural networks has shown promising results, particularly in fluid simulations. However, most approaches rely on co…