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Soledad Le Clainche
Soledad Le Clainche
ETSIAE-UPM
Verified email at upm.es
Title
Cited by
Cited by
Year
Higher order dynamic mode decomposition
S Le Clainche, JM Vega
SIAM Journal on Applied Dynamical Systems 16 (2), 882-925, 2017
3502017
Higher order dynamic mode decomposition of noisy experimental data: the flow structure of a zero-net-mass-flux jet
S Le Clainche, JM Vega, J Soria
Experimental Thermal and Fluid Science, 2017
1262017
Higher order dynamic mode decomposition to identify and extrapolate flow patterns
S Le Clainche, JM Vega
Physics of Fluids 29 (8), 2017
1022017
Order 104 speedup in global linear instability analysis using matrix formation
P Paredes, M Hermanns, S Le Clainche, V Theofilis
Computer Methods in Applied Mechanics and Engineering 253, 287-304, 2013
1002013
Towards extraction of orthogonal and parsimonious non-linear modes from turbulent flows
H Eivazi, S Le Clainche, S Hoyas, R Vinuesa
Expert Systems with Applications 202, 117038, 2022
962022
A reduced-order model for compressible flows with buffeting condition using higher order dynamic mode decomposition with a mode selection criterion
J Kou, S Le Clainche, W Zhang
Physics of Fluids 30 (1), 016103, 2018
832018
Four decades of studying global linear instability: Progress and challenges
F Gómez, SL Clainche, P Paredes, M Hermanns, V Theofilis
AIAA journal 50 (12), 2731-2743, 2012
802012
higher order dynamic mode decomposition and its applications
JM vega, soledad le clainche
65*
Flow around a hemisphere-cylinder at high angle of attack and low Reynolds number. Part II: POD and DMD applied to reduced domains
S Le Clainche, D Rodriguez, V Theofilis, J Soria
Aerospace Science and Technology 44, 88-100, 2015
492015
Flow around a hemisphere-cylinder at high angle of attack and low Reynolds number. Part I: Experimental and numerical investigation
S Le Clainche, JI Li, V Theofilis, J Soria
Aerospace Science and Technology 44, 77-87, 2015
472015
Improving aircraft performance using machine learning: A review
S Le Clainche, E Ferrer, S Gibson, E Cross, A Parente, R Vinuesa
Aerospace Science and Technology, 108354, 2023
462023
A reduced order model to predict transient flows around straight bladed vertical axis wind turbines
S Le Clainche, E Ferrer
Energies 11 (3), 566, 2018
462018
A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures
R Abadía-Heredia, M López-Martín, B Carro, JI Arribas, JM Pérez, ...
Expert Systems with Applications 187, 115910, 2022
452022
Spatio-temporal Koopman decomposition
SL Clainche, JM Vega
Journal of Nonlinear Science 28, 1793-1842, 2018
452018
Coherent structures in the turbulent channel flow of an elastoviscoplastic fluid
S Le Clainche, D Izbassarov, M Rosti, L Brandt, O Tammisola
Journal of Fluid Mechanics 888, A5, 2020
442020
New Robust Method to Study Flight Flutter Testing
S Le Clainche, R Moreno-Ramos, P Taylor, JM Vega
Journal of Aircraft, 2018
402018
A transition prediction method for flow over airfoils based on high-order dynamic mode decomposition
WU Mengmeng, HAN Zhonghua, NIE Han, S Wenping, S Le Clainche, ...
Chinese Journal of Aeronautics 32 (11), 2408-2421, 2019
382019
Wind predictions upstream wind turbines from a LiDAR database
S Le Clainche, LS Lorente, JM Vega
Energies 11 (3), 543, 2018
372018
Spatio-temporal flow structures in the three-dimensional wake of a circular cylinder
S Le Clainche, JMP Pérez, JM Vega
Fluid Dynamics Research, 2018
362018
Analyzing nonlinear dynamics via data‐driven dynamic mode decomposition‐like methods
S Le Clainche, JM Vega
Complexity 2018 (1), 6920783, 2018
332018
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