Leveraging Particle Trajectories to Accurately Identify Vortex Boundaries using Deep Learning

A novel deep learning methodology that utilizes particle trajectories (streamlines or pathlines) to enhance the accuracy of vortex boundary extraction, outperforming existing methods that rely solely on velocity components.