7 citations · 7 across the 3 of their papers we have counts for
3 papers
Machine-learned flow estimation with sparse data -- exemplified for the rooftop of a UAV vertiport
Chang Hou, Luigi Marra, Guy Y. Cornejo Maceda +9
We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for flows under various wo…
Actuation manifold from snapshot data
Luigi Marra, Guy Y. Cornejo Maceda, Andrea Meilán-Vila +5
We propose a data-driven methodology to learn a low-dimensional manifold of controlled flows. The starting point is resolving snapshot flow data for a representative ensemble of ac…
Jet mixing enhancement with Bayesian optimization, deep learning, and persistent data topology
Yiqing Li, Bernd R. Noack, Tianyu Wang +4
We optimize the jet mixing using large eddy simulations (LES) at a Reynolds number of . Key methodological enablers consist of Bayesian optimization, a surrogate model enhanc…