Machine learning for fluid dynamics

4-6 March 2026
CWI Amsterdam

3rd ERCOFTAC "Machine learning for fluid dynamics" workshop

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.