Modeling Double Concentric Jets Using Linear and Non-linear Approaches. - Juan A. Martín; Adrián Corrochano; Javier Sierra; David Fabre; Soledad Le Clainche (SOCO, 2020)

Structural sensitivity in non-linear flows using direct solutions. - Adrián Corrochano; Soledad Le Clainche (Comput. Math. Appl., 2022)

A predictive physics-aware hybrid reduced order model for reacting flows. - Adrián Corrochano; Rodolfo S. M. Freitas; Alessandro Parente; 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)

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)

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)

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)

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)

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., 2024)