Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Oct 2026

Assisted Turbulence Modeling via Data Assimilation and Machine Learning for Turbomachinery Flows

This work presents the development and assessment of a hybrid framework coupling numerical simulation, experimental samples, data assimilation (DA) and machine learning (ML) to investigate the flow within an axial compressor stage. The methodology first implements a Multi-Fidelity Ensemble Kalman Filter (MFEnKF) which...

Tom Moussie, Pierric Joseph, M. Meldi · 0 citations
Open access Sep 2026

A data assimilation and machine learning approach for the numerical prediction of immersed bodies in oscillating motion

Abstract Data-driven methods have demonstrated strong predictive capabilities in fluid mechanics, yet most current applications still focus on simplified configurations, often characterized by statistical stationarity or limited temporal variability. This work proposes a methodology that combines data assimilation (DA)...

Miguel Martínez Valero, M. Meldi · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.