This federal Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program provides $203,648 to Purdue University to develop a mathematical framework for deriving tractable reduced-order models that effectively capture the dynamics of complex turbulent systems. The project aims to apply this framework to relevant fluid flow systems, such as atmospheric and oceanic flows, controlled plasma fusion, and other engineering applications. The unified reduced-order model will integrate approaches from data assimilation, uncertainty quantification, and optimal control to enable new multiscale data assimilation strategies and mean-field control models. The project will also provide training and research opportunities for undergraduate and graduate students. This award runs from August 15, 2024 to July 31, 2027.
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