BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.4.3//EN TZID:Europe/Paris X-WR-TIMEZONE:Europe/Paris BEGIN:VEVENT UID:0-119@lisn.upsaclay.fr DTSTART;TZID=Europe/Paris:20230615T140000 DTEND;TZID=Europe/Paris:20230615T160000 DTSTAMP:20230609T091457Z URL:https://www.lisn.upsaclay.fr/evenements/physics-aware-machine-learning -for-extreme-fluids/ SUMMARY:Physics-aware machine learning for extreme fluids DESCRIPTION:To predict the evolution of physical systems\, we need a model that tells us“what happens next” given “what we know so far”. This can be enabled byphysical principles and data-driven approaches. \;On the one hand\, physical principles\, for example conservation laws\, aree xtrapolative because they can provide predictions on phenomena that have n otbeen observed\, but they are “rigid”. On the other hand\, data-drive nmodelling provides correlation functions within data\, but they are“ada ptive”. In this talk\, the complementary capabilities of both approaches will be exploited to achieve adaptive modelling and optimization of nonlin ear\,unsteady\, and uncertain flows. \;The focus of the talk is on com putational methodologies for modelling andoptimization of complex flows:&n bsp\;(i) real-time data assimilation with a Bayesian approach to infer mod el errors(bias) with applications to thermoacoustic oscillations\; and&nbs p\;(ii) and auto-encoders and reservoir computers for reduced-order modell ing ofturbulent flows\, which generalise POD/DMD methods to nonlinear dyna mics\, for theprediction of extreme events.Annonce de la présentation à l'adresse https://semmeca.lisn.upsaclay.fr/affiche/20230615_14.html CATEGORIES:Mécanique,Séminaires LOCATION:LISN Site Belvédère\, Rue du Belvédère Campus universitaire b ât 507 91405 Orsay\, France X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Rue du Belvédère Campus universitaire bât 507 91405 Orsay\, France;X-APPLE-RADIUS=100;X-TITLE=LIS N Site Belvédère:geo:0,0 END:VEVENT BEGIN:VTIMEZONE TZID:Europe/Paris X-LIC-LOCATION:Europe/Paris BEGIN:DAYLIGHT DTSTART:20230326T030000 TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST END:DAYLIGHT END:VTIMEZONE END:VCALENDAR