A project concerned with the prediction of laminar velocity and pressure fields from an input shape using graph neural network architectures. If you exploit this work for your own research, please ...

J. Viquerat and E. Hachem, "A supervised neural network for drag prediction of arbitrary 2D shapes in laminar flows at low Reynolds number" J. Chen, J. Viquerat and E. Hachem, "A twin-decoder ...

The primary goal of this paper is to compare flow and pressure waveforms predicted by a 1D blood flow model, consisting of partial differential equations, with the output of a bond graph based model, ...