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This work proposes a novel method to develop physics-based surrogate models of expensive simulation codes available as a black-box. Such surrogate model offers application in early-phases of aerospace design for reliable and real-time decision making. Overall, it helps reduce the cost and time involved in the design of complex aerospace systems.

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This page is a summary of: Koopman-Based Approach to Nonintrusive Reduced Order Modeling: Application to Aerodynamic Shape Optimization and Uncertainty Propagation, AIAA Journal, May 2020, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.j058744.
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