Impressive! When do you think it will be possible to apply these discretization-invariant methods to more complex PDEs such as NS or RANS? They could potentially replace ROMs... This world be game-changing for control or shape optimization!
Come to our talk at Session 2 #ICML2020 GRL+ workshop
We use graph neural networks to learn operators for parametric PDEs. @kazizzad @Caltech #AI #DeepLearning
https://arxiv.org/abs/2006.09535 https://arxiv.org/abs/2003.03485
Slides:https://docs.google.com/presentation/d/1Iok3_Kcdk7Mxguy3Hj8bG4a2KAGjqkasCn9P5rV2Egw/edit?usp=sharing …
-
-
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.