Browsing OSU Dissertations by Subject "data assimilation"
Now showing items 1-2 of 2
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Model-data fusion in digital twins of large scale dynamical systems
(2022-07)Digital twins (DTs) are virtual entities that serve as the real-time digital counterparts of actual physical systems across their life-cycle. In a typical application of DTs, the physical system provides sensor measurements ... -
Physics-guided machine learning for turbulence closure and reduced-order modeling
(2022-07)A recent advance in scientific machine learning has started to show promising results in fluid mechanics. Despite their early success, the application of data-driven methods to turbulent flow simulation is non-trivial due ...