Soledad Le Clainche

According to our database, Soledad Le Clainche authored at least 36 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics.

P. Díaz-Morales, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche

Expert Syst. Appl., March, 2024

ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools.

Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Maiora, Manuel López Martín, Soledad Le Clainche

Comput. Phys. Commun., 2024

Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement Learning.

Francisco Giral, Ignacio Gómez, Soledad Le Clainche

CoRR, 2024

Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets.

Andrés Bell-Navas, Nourelhouda Groun, María Villalba-Orero, Enrique Lara Pezzi, Jesús Garicano-Mena, Soledad Le Clainche

CoRR, 2024

Exploring the efficacy of a hybrid approach with modal decomposition over fully deep learning models for flow dynamics forecasting.

Rodrigo Abadía-Heredia, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche

CoRR, 2024

Data repairing and resolution enhancement using data-driven modal decomposition and deep learning.

Ashton Hetherington, D. Serfaty, Adrián Corrochano, Julio Soria, Soledad Le Clainche

CoRR, 2024

Hierarchical higher-order dynamic mode decomposition for clustering and feature selection.

Adrián Corrochano, Giuseppe D'Alessio, Alessandro Parente, Soledad Le Clainche

Comput. Math. Appl., 2024

2023

Forecasting through deep learning and modal decomposition in two-phase concentric jets.

León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche

Expert Syst. Appl., December, 2023

Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows.

Christian Amor, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche

J. Comput. Phys., February, 2023

Low-cost singular value decomposition with optimal sensor placement.

Ashton Hetherington, Soledad Le Clainche

CoRR, 2023

ModelFLOWs-app: data-driven post-processing and reduced order modelling tools.

Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Moira, Manuel López Martín, Soledad Le Clainche

CoRR, 2023

A predictive physics-aware hybrid reduced order model for reacting flows.

Adrián Corrochano, Rodolfo S. M. Freitas, Alessandro Parente, Soledad Le Clainche

CoRR, 2023

2022

Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object Inspection.

Dmytro Mamchur, Janis Peksa, Soledad Le Clainche, Ricardo Vinuesa

Sensors, 2022

An Adaptive Data-Driven Reduced Order Model Based on Higher Order Dynamic Mode Decomposition.

Víctor Beltrán, Soledad Le Clainche, José Manuel Vega

J. Sci. Comput., 2022

Eigensolution analysis of immersed boundary method based on volume penalization: Applications to high-order schemes.

Jiaqing Kou, Aurelio Hurtado-de-Mendoza, Saumitra Joshi, Soledad Le Clainche, Esteban Ferrer

J. Comput. Phys., 2022

Data-driven eigensolution analysis based on a spatio-temporal Koopman decomposition, with applications to high-order methods.

Jiaqing Kou, Soledad Le Clainche, Esteban Ferrer

J. Comput. Phys., 2022

Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder.

Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche

Log. J. IGPL, 2022

Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows.

Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa

Expert Syst. Appl., 2022

A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures.

Rodrigo Abadía-Heredia, Manuel López Martín, Belén Carro, Juan Ignacio Arribas, José Miguel Pérez, Soledad Le Clainche

Expert Syst. Appl., 2022

Forecasting through deep learning and modal decomposition in multi-phase concentric jets.

León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche

CoRR, 2022

Improving aircraft performance using machine learning: a review.

Soledad Le Clainche, Esteban Ferrer, Sam Gibson, Elisabeth Cross, Alessandro Parente, Ricardo Vinuesa

CoRR, 2022

Structural sensitivity in non-linear flows using direct solutions.

Adrián Corrochano, Soledad Le Clainche

Comput. Math. Appl., 2022

Higher order dynamic mode decomposition: From fluid dynamics to heart disease analysis.

Nourelhouda Groun, María Villalba-Orero, Enrique Lara Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche

Comput. Biol. Medicine, 2022

A novel data-driven method for the analysis and reconstruction of cardiac cine MRI.

Nourelhouda Groun, María Villalba-Orero, Enrique Lara Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche

Comput. Biol. Medicine, 2022

2021

Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network.

Manuel López Martín, Soledad Le Clainche, Belén Carro

Expert Syst. Appl., 2021

2020

Reconstruction of three-dimensional flow fields from two-dimensional data.

José Miguel Pérez, Soledad Le Clainche Martínez, José Manuel Vega

J. Comput. Phys., 2020

HODMD Analysis in a Forced Flow over a Backward-Facing Step by Harmonic Perturbations.

José Miguel Pérez, Soledad Le Clainche, José Manuel Vega

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

Modeling Double Concentric Jets Using Linear and Non-linear Approaches.

Juan A. Martín, Adrián Corrochano, Javier Sierra, David Fabre, Soledad Le Clainche

Proceedings of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2020

2019

Generating Three-Dimensional Fields from Two-Dimensional Soft Computing Strategies.

José Miguel Pérez, Soledad Le Clainche Martínez, José Manuel Vega

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

An Introduction to Some Methods for Soft Computing in Fluid Dynamics.

Soledad Le Clainche Martínez

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

A Data-Driven ROM Based on HODMD.

Víctor Beltrán, Soledad Le Clainche Martínez, José Manuel Vega

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder.

Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche Martínez

Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

2018

Spatio-Temporal Koopman Decomposition.

Soledad Le Clainche Martínez, José Manuel Vega

J. Nonlinear Sci., 2018

Analyzing Nonlinear Dynamics via Data-Driven Dynamic Mode Decomposition-Like Methods.

Soledad Le Clainche Martínez, José Manuel Vega

Complex., 2018

2017

Higher Order Dynamic Mode Decomposition.

Soledad Le Clainche Martínez, José Manuel Vega

SIAM J. Appl. Dyn. Syst., 2017

2013

Principal Component Analysis on a LES of a Squared Ribbed Channel.

Soledad Le Clainche Martínez, Carlo Benocci, Alessandro Parente

Proceedings of the International Joint Conference SOCO'13-CISIS'13-ICEUTE'13, 2013