5 citations · 10 across the 8 of their papers we have counts for
4 papers · 1 filter
Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics
Paul Jeanney, Ashton Hetherington, Shady E. Ahmed +4
This paper presents an innovative Reduced-Order Model (ROM) for merging experimental and simulation data using Data Assimilation (DA) to estimate the "True" state of a fluid dynami…
Data repairing and resolution enhancement using data-driven modal decomposition and deep learning
A. Hetherington, D. Serfaty, A. Corrochano +2
This paper introduces a new series of methods which combine modal decomposition algorithms, such as singular value decomposition and high-order singular value decomposition, and de…
Low-cost singular value decomposition with optimal sensor placement
Ashton Hetherington, Soledad Le Clainche
This paper presents a new method capable of reconstructing datasets with great precision and very low computational cost using a novel variant of the singular value decomposition (…
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…