This two and half day long workshop will be the first edition of a “Machine Learning for Fluid Dynamics” workshop
in relation with the SIG54 activities.

L​ocation:
Pierre and Marie Curie (Jussieu) Campus of Sorbonne University,
4 Place Jussieu, 75005, Paris, France

TOPICS:

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. However, this is not mandatory, and different test cases will be accepted.

P​rogramme:

Keynote Speakers:

Local Organizing Committee:

S​cientific Committee:

Accommodation:

Please find some information about the nearby hotels.

Hotels close to Jussieu Campus but are within Latin district hence they are more expensive:

• H​otel Saint Christophe: https://hotel-saint-christophe.eu/
• H​otel Des Arenes: https://www.hotel-des-arenes.com/
• H​otel Saint Marcel: https://www.hotel-saint-marcel-paris.com/fr/
• B​est Western Plus Quartier Latin Pantheo: https://www.bestwestern-quartier-latin.com/en/
• G​rand Hotel Les Gobelins: https://www.grandhotelgobelins.com/

Less expensive hotels can be found around Place d’Italie (13e arrondissement), for instance:

• Hotel Des Ecrivains: https://www.hoteldesecrivains.com/fr/
• Hotel Coq: https://www.coqhotelparis.com/chambres
• Hotel Kyriad Italie: https://paris-13-italie-gobelins.kyriad.com/fr-fr/

All these are about 20 minutes walking distance from Jussieu (or 10 minutes by metro 7), and well connected to everywhere in Paris.

Co-organisers:

 

 

 

 

S​ponsors: