Machine learning for fluid dynamics

4-6 March 2026
CWI Amsterdam

3rd ERCOFTAC "Machine learning for fluid dynamics" workshop

The detailed conference program is now available in PDF and HTML

(Last program update 20/02: re-ordering of presentations in sessions PIML2 and ISI)

Selected presentations will be invited to submit to a special issue of Flow, Turbulence and Combustion

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.