Ali Rabeh, Ethan Herron and colleagues benchmark diverse scientific machine learning models, including neural operators and vision transformer-based foundation models, for fluid flow prediction over intricate geometries using a unified scoring framework. They show that geometry representations can have a measurable impact on the accuracy and generalization of different models.
- Ali Rabeh
- Ethan Herron
- Baskar Ganapathysubramanian
