Thomas Economon

Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction

Solving large complex partial differential equations (PDEs), such as those that arise in computational fluid dynamics (CFD), is a computationally expensive process. This has motivated the use of deep learning approaches to approximate the PDE solutions, yet the simulation results predicted from thes…