3rd ERCOFTAC Workshop on Machine Learning for Fluid Dynamics

4-6 mars 2026

Centrum voor Wiskunde en Informatica (CWI). Science Park 123, 1098 XG Amsterdam, Pays-Bas - Amsterdam (Pays-Bas)

https://ml4fluids.sciencesconf.org

The workshop invites abstract submissions on any aspect of Machine Learning applied to Fluid Dynamics problems. These include, but are not limited to: - Data-driven/data-augmented models (e.g., rheology, turbulence modeling, combustion, multiphase, ...); - ML-assisted reduced-order modelling or surrogate modeling of flows, feature detection, signal processing; - ML-based flow control or optimization; - Super-resolution reconstruction of flow fields; - Uncertainty quantification; - ML-accelerated flow solvers. Whenever possible, the authors are encouraged to use the workshop test cases to demonstrate their proposed approaches.

Discipline scientifique :  Modélisation et simulation - Mécanique des fluides - Mécanique des fluides

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