Ashton Hetherington

According to our database, Ashton Hetherington authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

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

Expert Syst. Appl., 2026

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

Appl. Math. Comput., 2026

2025

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, April, 2025

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

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

2023

Low-cost singular value decomposition with optimal sensor placement.

Ashton Hetherington, 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