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Siemens Energy Taps NVIDIA Omniverse for Power Plant Digital Twin

Siemens Energy, a supplier of power plant technology in the worldwide energy market, is relying on the NVIDIA Omniverse platform to create digital twins to support predictive maintenance of power plants. In doing so, Siemens Energy joins companies across industries using digital twins to enhance operations. Among them, BMW Group, which has 31 factories around the […]

Digital Twin Platform Powers New Mexico to Carbon Neutral Future

Oct. 13, 2020 — New Mexico is launching a new ‘smart infrastructure’ and carbon-neutral energy era on a grand scale, after its 2019 Energy Transition Act (ETA) positioned the US state as a global leader to fight Climate Change. Its ambition will be enabled by partnership between The Agile Fractal Grid (AFG), developing a new integrated power […]

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.”