2 papers
physics.flu-dyn2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks
Lukas Harsch, Stefan Riedelbauch
We propose a model to directly predict the steady-state flow field for a given geometry setup. The setup is an Eulerian representation of the fluid flow as a meshed domain. We intr…
cs.AI2021
Transferable Model for Shape Optimization subject to Physical Constraints
Lukas Harsch, Johannes Burgbacher, Stefan Riedelbauch
The interaction of neural networks with physical equations offers a wide range of applications. We provide a method which enables a neural network to transform objects subject to g…