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Predictive Data Science for Physical Systems: From Model Reduction to Scientific Machine Learning

Karen Willcox from the University of Texas gave this Invited Talk at SC19. “This talk highlights how physics-based models and data together unlock predictive modeling approaches through two examples: first, building a Digital Twin for structural health monitoring of an unmanned aerial vehicle, and second, learning low-dimensional models to speed up computational simulations for design of next-generation rocket engines.”