This third edition focuses on Uncertainty Quantification in Fluid Dynamics. Thanks to the rapidly growing computational resources and to the improvements in numerical and experimental techniques, increasingly complex fluid dynamics problems are nowadays investigated both numerically and experimentally. In this context, the issue of assessing and optimizing the accuracy and reliability of numerical and experimental predictions has become a timely challenge. Indeed, different sources of uncertainties are present in both simulations and experiments, as e.g. uncertainties in problem set-up, measurement accuracy, numerical methods or physical modeling. The workshop aims at establishing a state of the art and at providing a platform for discussions about recent advances in uncertainty quantification techniques and in their application to complex fluid dynamics problems. Contributions on the following topics are, in particular, welcome: forward propagation of the uncertainties, sensitivity analysis, inverse problems, data assimilation and integration with artificial intelligence or machine learning.
Selected contributions will be invited for submission to the speciale issue Methods and Applications of Uncertainty Quantification in Engineering and Science of Algorithms.
The following leading experts will give keynote lectures:
|George Karniadakis (Brown University, USA) |
Physics-informed neural networks (PINNs) with uncertainty quantification
|Siddhartha Mishra (ETH Zürich, Switzerland) |
UQ for nonlinear hyperbolic PDEs with statistical solutions
|Gianluca Iaccarino (Stanford University, USA) |
UQ & HPC: towards exascale ensemble simulations
|Vincent Heuveline (Universität Heidelberg, Germany) |
Uncertainty quantification with application to medical engineering: towards a more reliable medicine?
|Emilio F. Campana (CNR, Department of Engineering, Italy)|
Sailing in a storm: UQ for ship optimization in a stochastic environment with operational uncertainty
Organizing Committee: firstname.lastname@example.org
|Università di Pisa||ERCOFTAC||GAMM-UQ Activity Group||CNR-IMATI|