21 citations · 37 across the 12 of their papers we have counts for
12 papers
Coherent structures in Newtonian and viscoelastic turbulent planar jets
Christian Amor, Adrián Corrochano, Giovanni Soligo +2
The addition of a small amount of long-chain polymers confers viscoelastic properties to Newtonian flows. The resulting non-Newtonian solution now exhibits different dynamics, such…
Reduced-order modeling of a viscoelastic turbulent jet with hybrid machine learning models
Christian Amor, Adrián Corrochano, Marco Edoardo Rosti +1
Adding flexible polymers to a Newtonian solvent confers complex properties to the resulting solution. The additional complexity substantially increases the computational cost of nu…
The coherent structures of EVP Fluid Flow Past a Circular Cylinder
Adrián Corrochano, Kazi Tassawar Iqbal, Saeed Parvar +2
This study investigates the impact of elasticity and plasticity on two-dimensional flow past a circular cylinder at Reynolds number . Ten direct numerical simulations wer…
Generalization capabilities and robustness of hybrid models grounded in physics compared to purely deep learning models
Rodrigo Abadía-Heredia, Adrián Corrochano, Manuel Lopez-Martin +1
This study investigates the generalization capabilities and robustness of purely deep learning (DL) models and hybrid models based on physical principles in fluid dynamics applicat…
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…
Deep Learning combined with singular value decomposition to reconstruct databases in fluid dynamics
Paula Díaz, Adrián Corrochano, Manuel López-Martín +1
Fluid Dynamics problems are characterized by being multidimensional and nonlinear. Therefore, experiments and numerical simulations are complex and time-consuming. Motivated by thi…
Hierarchical Higher-Order Dynamic Mode Decomposition for Clustering and Feature Selection
Adrián Corrochano, Giuseppe D'Alessio, Alessandro Parente +1
In this work, a new algorithm based on the application of higher-order dynamic mode decomposition (HODMD) is proposed for feature selection and variables clustering in reacting flo…
A predictive physics-aware hybrid reduced order model for reacting flows
Adrián Corrochano, Rodolfo S. M. Freitas, Alessandro Parente +1
In this work, a new hybrid predictive Reduced Order Model (ROM) is proposed to solve reacting flow problems. This algorithm is based on a dimensionality reduction using Proper Orth…
Mode selection in concentric jets. The steady-steady 1:2 resonant mode interaction with O(2) symmetry
Adrián Corrochano, Javier Sierra-Ausín, Juan Ángel Martin +2
In this article, a thorough characterization of the configuration composed by two concentric jets at a low Reynolds number is presented. The analysis comprises a layout with a wide…
Higher order dynamic mode decomposition to model reacting flows
Adrián Corrochano, Giuseppe D'Alessio, Alessandro Parente +1
In this work, the application of the multi-dimensional higher order dynamic mode decomposition (HODMD) is proposed for the first time to analyse combustion databases. In particular…
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…
Data-driven assessment of arch vortices in simplified urban flows
Álvaro Martínez-Sánchez, Eneko Lazpita, Adrián Corrochano +3
Understanding flow structures in urban areas is widely recognized as a challenging concern due to its effect on urban development, air quality, and pollutant dispersion. In this st…