1 citations · 1 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2022
On the generation and destruction mechanisms of arch vortices in urban fluid flows
Eneko Lazpita, Álvaro Martínez-Sánchez, Adrián Corrochano +3
Studying and interpreting the different flow patterns present in urban areas is becoming essential since they help develop new approaches to fight climate change through an improve…
physics.flu-dyn2021★ 1 cited
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas +1
We propose a deep probabilistic-neural-network architecture for learning a minimal and near-orthogonal set of non-linear modes from high-fidelity turbulent-flow-field data useful f…