| On the generation and destruction mechanisms of arch vortices in urban fluid flows E Lazpita, Á Martínez-Sánchez, A Corrochano, S Hoyas, S Le Clainche, ... Physics of Fluids 34 (5), 2022 | 18 | 2022 |
| Higher order dynamic mode decomposition to model reacting flows A Corrochano, G D’Alessio, A Parente, S Le Clainche International Journal of Mechanical Sciences 249, 108219, 2023 | 13 | 2023 |
| DES of a Slingsby Firefly aircraft: Unsteady flow feature extraction using POD and HODMD A Corrochano, AF Neves, B Khanal, S Le Clainche, NJ Lawson Journal of Aerospace Engineering 35 (5), 04022063, 2022 | 7 | 2022 |
| Flow structures on a planar food and drug administration (FDA) nozzle at low and intermediate Reynolds number A Corrochano, D Xavier, P Schlatter, R Vinuesa, S Le Clainche Fluids 6 (1), 4, 2020 | 7 | 2020 |
| ModelFLOWs-app: data-driven post-processing and reduced order modelling tools A Hetherington, A Corrochano, R Abadía-Heredia, E Lazpita, E Muñoz, ... Computer Physics Communications, 109217, 2024 | 5 | 2024 |
| Data-driven assessment of arch vortices in simplified urban flows Á Martínez-Sánchez, E Lazpita, A Corrochano, S Le Clainche, S Hoyas, ... International Journal of Heat and Fluid Flow 100, 109101, 2023 | 5 | 2023 |
| A predictive physics-aware hybrid reduced order model for reacting flows A Corrochano, RSM Freitas, A Parente, SL Clainche arXiv preprint arXiv:2301.09860, 2023 | 5 | 2023 |
| Structural sensitivity in non-linear flows using direct solutions A Corrochano, S Le Clainche Computers & Mathematics with Applications 128, 69-78, 2022 | 4 | 2022 |
| Data-driven assessment of arch vortices in urban flows Á Martínez-Sánchez, E Lazpita, A Corrochano, SL Clainche, S Hoyas, ... arXiv preprint arXiv:2202.01667, 2022 | 4 | 2022 |
| Modeling double concentric jets using linear and non-linear approaches JA Martín, A Corrochano, J Sierra, D Fabre, S Le Clainche International Workshop on Soft Computing Models in Industrial and …, 2020 | 3 | 2020 |
| Deep learning combined with singular value decomposition to reconstruct databases in fluid dynamics P Díaz-Morales, A Corrochano, M López-Martín, S Le Clainche Expert Systems with Applications 238, 121924, 2024 | 2 | 2024 |
| Deep Learning combined with singular value decomposition to reconstruct databases in fluid dynamics P Díaz, A Corrochano, M López-Martín, SL Clainche arXiv preprint arXiv:2305.08832, 2023 | 2 | 2023 |
| Hierarchical higher-order dynamic mode decomposition for clustering and feature selection A Corrochano, G D'Alessio, A Parente, S Le Clainche Computers & Mathematics with Applications 158, 36-45, 2024 | 1 | 2024 |
| Exploring the efficacy of a hybrid approach with modal decomposition over fully deep learning models for flow dynamics forecasting R Abadía-Heredia, A Corrochano, M Lopez-Martin, SL Clainche arXiv preprint arXiv:2404.17884, 2024 | | 2024 |
| Data repairing and resolution enhancement using data-driven modal decomposition and deep learning A Hetherington, D Serfaty, A Corrochano, J Soria, SL Clainche arXiv preprint arXiv:2401.11286, 2024 | | 2024 |
| A Predictive Physics-Aware Machine Learning Model for Reacting Flows Check for updates A Corrochano, RSM Freitas, A Parente, D Soledad Le Clainche New Technologies and Developments in Unmanned Systems: Proceedings of the …, 2023 | | 2023 |
| Mode selection in concentric jets: the steady–steady 1: 2 resonant mode interaction with O (2) symmetry A Corrochano, J Sierra-Ausín, JA Martin, D Fabre, S Le Clainche Journal of Fluid Mechanics 971, A30, 2023 | | 2023 |
| Machine Learning to Reconstruct Aeronautical Databases with Deep Neural Networks P Díaz, A Corrochano, M López-Martín, S Le Clainche International Symposium on Unmanned Systems and The Defense Industry, 125-129, 2022 | | 2022 |
| A Predictive Physics-Aware Machine Learning Model for Reacting Flows A Corrochano, RSM Freitas, A Parente, S Le Clainche International Symposium on Unmanned Systems and The Defense Industry, 75-79, 2022 | | 2022 |
