TrajectoryFlowNet

Lagrangian-Eulerian learning of flow field and trajectories with TrajectoryFlowNet

Announce Type: replace Abstract: Predicting particle transport in complex flows is traditionally achieved by solving the Navier-Stokes equations. While various numerical and experimental methods exist, they typically require deep physical insights and incur high computational costs. Machine learning offers an alternative by learning predictive patterns directly from data, avoiding explicit physical modeling.