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)

Low-cost singular value decomposition with optimal sensor placement. - Ashton Hetherington; Soledad Le Clainche (CoRR, 2023)

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)

LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements. - Ashton Hetherington; Javier Lopez-Leones; 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)

Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models. - Arindam Sengupta; Rodrigo Abadía-Heredia; Ashton Hetherington; José Miguel Pérez; Soledad Le Clainche (CoRR, 2025)

Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics. - Paul Jeanney; Ashton Hetherington; Shady E. Ahmed; David Lanceta; Susana Saiz; José Miguel Pérez; Soledad Le Clainche (CoRR, 2025)