Rose discusses the challenges of predicting turbulence using traditional video prediction methods, which fail to capture the energy spectrum critical to understanding the system. By integrating physical modeling with deep learning, her hybrid approach significantly enhances prediction accuracy, aligning closely with ground truth data. This method leverages known governing equations and computational techniques, showcasing the power of combining domain knowledge with advanced AI.
