most citedDeep Learning for Real-Time Aerodynamic Evaluations of Arbitrary Vehicle Shapes

31 citations · 56 across the 4 of their papers we have counts for

collaborators
Showing math.NAShow all

1 paper · 1 filter

math.NA2021★ 15 cited

Multi-fidelity data fusion through parameter space reduction with applications to automotive engineering

Francesco Romor, Marco Tezzele, Markus Mrosek +2

Multi-fidelity models are of great importance due to their capability of fusing information coming from different numerical simulations, surrogates, and sensors. We focus on the ap…