3rd ERCOFTAC Workshop Machine Learning for Fluid Dynamics
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Location: CWI Amsterdam, Amsterdam Science Park Congress Center, The Netherlands
Chairs: Benjamin Sanderse (CWI) & Richard Dwight (TU Delft)
All information can be found on the workshop website: https://ml4fluids2026.github.io
Registration date: TBC
ERCOFTAC MEMBERS
NON - ERCOFTAC MEMBERS
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.
Pilot
Special Interest
Knowledge
ERCOFTAC