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DOE Funds $15M for Integrated Computational and Data Infrastructure for Science Research at 5 Universities

Today, the U.S. Department of Energy (DOE) announced $15.1 million for three collaborative research projects, at five universities, to advance development of what DOE said is a flexible multi-tiered data and computational infrastructure to support a diverse collection of on-demand scientific data processing tasks and computationally intensive simulations. “The projects will accelerate research in the fields […]

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.”