4 citations · 4 across the 2 of their papers we have counts for
2 papers
physics.flu-dyn2026
Clustering the Flow: A Data-Driven Framework for Pattern Discovery in Fluid Dynamics
Juan Angel Martin, Eva Muñoz, Himanshu Dave +2
Clustering techniques offer a powerful framework for analyzing complex flow dynamics and reducing computational costs in large-scale simulations. In this work, we propose a novel c…
cs.CE2023★ 4 cited
ModelFLOWs-app: data-driven post-processing and reduced order modelling tools
A. Hetherington, A. Corrochano, R. Abadía-Heredia +6
This article presents an innovative open-source software named ModelFLOWs-app, written in Python, which has been created and tested to generate precise and robust hybrid reduced or…