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BEGIN:VEVENT
UID:news2045@dmi.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260527T165604
DTSTART;TZID=Europe/Zurich:20260603T161000
SUMMARY:An Afternoon of Fluid Dynamics: Victor Armegioiu (ETH Zurich)
DESCRIPTION:Turbulent and multiscale flows often make single-trajectory pre
 diction a fragile object: small perturbations may destroy pointwise predic
 tability\, while ensemble-level quantities remain meaningful. This talk di
 scusses statistical solutions as a framework for describing such dynamics 
 through probability laws on velocity fields and their associated correlati
 on marginals. I will explain how this viewpoint connects classical weak fo
 rmulations\, energy/structure constraints\, and weak-strong stability\, an
 d why it provides a natural language for uncertainty in fluid dynamics. I 
 will then outline how modern neural surrogates can be interpreted as appro
 ximations of these evolving laws\, rather than as deterministic replacemen
 ts for the underlying PDE dynamics.
X-ALT-DESC:<p>Turbulent and multiscale flows often make single-trajectory p
 rediction a fragile object: small perturbations may destroy pointwise pred
 ictability\, while ensemble-level quantities remain meaningful. This talk 
 discusses statistical solutions as a framework for describing such dynamic
 s through probability laws on velocity fields and their associated correla
 tion marginals. I will explain how this viewpoint connects classical weak 
 formulations\, energy/structure constraints\, and weak-strong stability\, 
 and why it provides a natural language for uncertainty in fluid dynamics. 
 I will then outline how modern neural surrogates can be interpreted as app
 roximations of these evolving laws\, rather than as deterministic replacem
 ents for the underlying PDE dynamics.</p>
DTEND;TZID=Europe/Zurich:20260603T170000
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