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ORCIDSoledad Le Clainche
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2020 – today
- 2024
[j20]Adrián Corrochano
, Giuseppe D'Alessio, Alessandro Parente, Soledad Le Clainche:
Hierarchical higher-order dynamic mode decomposition for clustering and feature selection. Comput. Math. Appl. 158: 36-45 (2024)- [j19]Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Maiora, Manuel López Martín, Soledad Le Clainche:
ModelFLOWs-app: Data-driven post-processing and reduced order modelling tools. Comput. Phys. Commun. 301: 109217 (2024) - [j18]P. Díaz-Morales, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche:
Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics. Expert Syst. Appl. 238(Part B): 121924 (2024) - [i11]Ashton Hetherington, D. Serfaty, Adrián Corrochano, Julio Soria, Soledad Le Clainche:
Data repairing and resolution enhancement using data-driven modal decomposition and deep learning. CoRR abs/2401.11286 (2024) - [i10]Rodrigo Abadía-Heredia, Adrián Corrochano, Manuel López Martín, Soledad Le Clainche:
Exploring the efficacy of a hybrid approach with modal decomposition over fully deep learning models for flow dynamics forecasting. CoRR abs/2404.17884 (2024) - [i9]Andrés Bell-Navas, Nourelhouda Groun, María Villalba-Orero, Enrique Lara Pezzi, Jesús Garicano-Mena, Soledad Le Clainche:
Automatic Cardiac Pathology Recognition in Echocardiography Images Using Higher Order Dynamic Mode Decomposition and a Vision Transformer for Small Datasets. CoRR abs/2404.19579 (2024) - [i8]Francisco Giral, Ignacio Gómez, Soledad Le Clainche:
Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement Learning. CoRR abs/2407.06909 (2024) - 2023
- [j17]León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche:
Forecasting through deep learning and modal decomposition in two-phase concentric jets. Expert Syst. Appl. 232: 120817 (2023) - [j16]Christian Amor, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche:
Higher-order dynamic mode decomposition on-the-fly: A low-order algorithm for complex fluid flows. J. Comput. Phys. 475: 111849 (2023) - [i7]Adrián Corrochano, Rodolfo S. M. Freitas, Alessandro Parente, Soledad Le Clainche:
A predictive physics-aware hybrid reduced order model for reacting flows. CoRR abs/2301.09860 (2023) - [i6]Ashton Hetherington, Adrián Corrochano, Rodrigo Abadía-Heredia, Eneko Lazpita, Eva Muñoz, Paula Díaz, Egoitz Moira, Manuel López Martín, Soledad Le Clainche:
ModelFLOWs-app: data-driven post-processing and reduced order modelling tools. CoRR abs/2305.17150 (2023) - [i5]Ashton Hetherington, Soledad Le Clainche:
Low-cost singular value decomposition with optimal sensor placement. CoRR abs/2311.09791 (2023) - 2022
- [j15]Nourelhouda Groun, María Villalba-Orero, Enrique Lara Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche:
Higher order dynamic mode decomposition: From fluid dynamics to heart disease analysis. Comput. Biol. Medicine 144: 105384 (2022) - [j14]Nourelhouda Groun, María Villalba-Orero, Enrique Lara Pezzi, Eusebio Valero, Jesús Garicano-Mena, Soledad Le Clainche:
A novel data-driven method for the analysis and reconstruction of cardiac cine MRI. Comput. Biol. Medicine 151(Part): 106317 (2022) - [j13]Adrián Corrochano, Soledad Le Clainche:
Structural sensitivity in non-linear flows using direct solutions. Comput. Math. Appl. 128: 69-78 (2022) - [j12]Rodrigo Abadía-Heredia, Manuel López Martín, Belén Carro, Juan Ignacio Arribas, José Miguel Pérez, Soledad Le Clainche:
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures. Expert Syst. Appl. 187: 115910 (2022) - [j11]Hamidreza Eivazi, Soledad Le Clainche, Sergio Hoyas, Ricardo Vinuesa:
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. Expert Syst. Appl. 202: 117038 (2022) - [j10]Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche:
Modeling the Turbulent Wake Behind a Wall-Mounted Square Cylinder. Log. J. IGPL 30(2): 263-276 (2022) - [j9]Jiaqing Kou, Soledad Le Clainche, Esteban Ferrer:
Data-driven eigensolution analysis based on a spatio-temporal Koopman decomposition, with applications to high-order methods. J. Comput. Phys. 449: 110798 (2022) - [j8]Jiaqing Kou, Aurelio Hurtado-de-Mendoza, Saumitra Joshi, Soledad Le Clainche, Esteban Ferrer:
Eigensolution analysis of immersed boundary method based on volume penalization: Applications to high-order schemes. J. Comput. Phys. 449: 110817 (2022) - [j7]Víctor Beltrán, Soledad Le Clainche, José Manuel Vega:
An Adaptive Data-Driven Reduced Order Model Based on Higher Order Dynamic Mode Decomposition. J. Sci. Comput. 92(1): 12 (2022) - [j6]Dmytro Mamchur, Janis Peksa, Soledad Le Clainche, Ricardo Vinuesa:
Application and Advances in Radiographic and Novel Technologies Used for Non-Intrusive Object Inspection. Sensors 22(6): 2121 (2022) - [i4]Soledad Le Clainche, Esteban Ferrer, Sam Gibson, Elisabeth Cross, Alessandro Parente, Ricardo Vinuesa:
Improving aircraft performance using machine learning: a review. CoRR abs/2210.11481 (2022) - [i3]León Mata, Rodrigo Abadía-Heredia, Manuel López Martín, José Miguel Pérez, Soledad Le Clainche:
Forecasting through deep learning and modal decomposition in multi-phase concentric jets. CoRR abs/2212.12731 (2022) - 2021
- [j5]Manuel López Martín, Soledad Le Clainche, Belén Carro:
Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network. Expert Syst. Appl. 177: 114924 (2021) - [i2]Jiaqing Kou, Aurelio Hurtado-de-Mendoza, Saumitra Joshi, Soledad Le Clainche, Esteban Ferrer:
Eigensolution analysis of immersed boundary method based on volume penalization: applications to high-order schemes. CoRR abs/2107.10155 (2021) - [i1]Hamidreza Eivazi, Soledad Le Clainche Martínez, Sergio Hoyas, Ricardo Vinuesa:
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows. CoRR abs/2109.01514 (2021) - 2020
- [j4]José Miguel Pérez, Soledad Le Clainche Martínez, José Manuel Vega:
Reconstruction of three-dimensional flow fields from two-dimensional data. J. Comput. Phys. 407: 109239 (2020) - [c7]Juan A. Martín, Adrián Corrochano, Javier Sierra, David Fabre, Soledad Le Clainche:
Modeling Double Concentric Jets Using Linear and Non-linear Approaches. SOCO 2020: 451-459 - [c6]José Miguel Pérez, Soledad Le Clainche, José Manuel Vega:
HODMD Analysis in a Forced Flow over a Backward-Facing Step by Harmonic Perturbations. SOCO 2020: 470-479
2010 – 2019
- 2019
- [c5]Soledad Le Clainche Martínez:
An Introduction to Some Methods for Soft Computing in Fluid Dynamics. SOCO 2019: 557-566 - [c4]Víctor Beltrán, Soledad Le Clainche Martínez, José Manuel Vega:
A Data-Driven ROM Based on HODMD. SOCO 2019: 567-576 - [c3]Christian Amor, José Miguel Pérez, Philipp Schlatter, Ricardo Vinuesa, Soledad Le Clainche Martínez:
Soft Computing Techniques to Analyze the Turbulent Wake of a Wall-Mounted Square Cylinder. SOCO 2019: 577-586 - [c2]José Miguel Pérez, Soledad Le Clainche Martínez, José Manuel Vega:
Generating Three-Dimensional Fields from Two-Dimensional Soft Computing Strategies. SOCO 2019: 587-595 - 2018
- [j3]Soledad Le Clainche Martínez, José Manuel Vega:
Analyzing Nonlinear Dynamics via Data-Driven Dynamic Mode Decomposition-Like Methods. Complex. 2018: 6920783:1-6920783:21 (2018) - [j2]Soledad Le Clainche Martínez, José Manuel Vega:
Spatio-Temporal Koopman Decomposition. J. Nonlinear Sci. 28(5): 1793-1842 (2018) - 2017
- [j1]Soledad Le Clainche Martínez, José Manuel Vega:
Higher Order Dynamic Mode Decomposition. SIAM J. Appl. Dyn. Syst. 16(2): 882-925 (2017) - 2013
- [c1]Soledad Le Clainche Martínez, Carlo Benocci, Alessandro Parente:
Principal Component Analysis on a LES of a Squared Ribbed Channel. SOCO-CISIS-ICEUTE 2013: 259-268
Coauthor Index
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last updated on 2024-11-05 22:02 CET by the dblp team
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