Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
MS01_03: Minisymposium - Data Science and AI in Fluid Mechanics
Time:
Tuesday, 17/September/2024:
5:00pm - 6:00pm

Session Chair: Ricardo Vinuesa, KTH Royal Institute of Technology
Location: H05

C.A.R.L.-Central Auditorium for Research and Learning Claßenstr. 11 52072 Aachen

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Presentations
5:00pm - 5:15pm

Laboratory tool for spatio-temporal measurements of waves and slopes based on polarimetric sensing and Machine Learning

Noam Ginio, Dan Liberzon, Barak Fishbain, Michael Lindenbaum

The Technion - Israel Institute of Technology

Ginio-Laboratory tool for spatio-temporal measurements of waves and slopes based-917.pdf


5:15pm - 5:30pm

Invariance-based Learning of Latent Dynamics in Fluid Flows

Christian Lagemann1, Kai Lagemann2, Sach Mukherjee2, Steven L. Brunton1

1AI Institute in Dynamic Systems, University of Washington, Seattle, United States; 2Statistics and Machine Learning, DZNE, Bonn, Germany

Lagemann-Invariance-based Learning of Latent Dynamics in Fluid Flows-348.pdf


5:30pm - 5:45pm

Can autoencoders derive airfoil theory?

Renato Tognaccini1, Ettore Saetta1, Gianluca Iaccarino2

1Università di Napoli Federico II; 2Stanford University

Tognaccini-Can autoencoders derive airfoil theory-404.pdf


5:45pm - 6:00pm

Consistent Turbulence Modeling via Reinforcement Learning

Marius Kurz1, Benjamin Sanderse2, Andrea Beck1

1Institute of Aerodynamics and Gas Dynamics, University of Stuttgart, Stuttgart, Germany; 2Centrum Wiskunde & Informatica (CWI), Amsterdam, The Netherlands

Kurz-Consistent Turbulence Modeling via Reinforcement Learning-1150.pdf


 
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