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DTSTART;TZID=Europe/Berlin:20230228T100000
DTEND;TZID=Europe/Berlin:20230228T113000
DTSTAMP:20260504T061717
CREATED:20230428T133317Z
LAST-MODIFIED:20230428T134051Z
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SUMMARY:[:de]Landesweiter Technologieworkshop[:]
DESCRIPTION:This entry is only available in Deutsch. Name: Landesweiter Technologieworkshop\n \nVeranstaltungsart: Workshop\n \nDatum: 28.02.2023\n \nUhrzeit: 10:00 – 11:30 Uhr \nOrt: Zoom\n \nZielgruppe: IdM Fachexpert*innen von Hochschulen in NRW \n\n\n  \nBeschreibung\nIm ersten landesweiten Technologieworkshop von IDM.nrw liegt der inhaltliche Fokus auf den folgenden Themen: \n\nGrouper\nKeycloak\nprivacyIDEA\nAnsiedlung 2. Faktor\nUmfrage: Technologielandschaft in NRW
URL:https://blog.rwth-aachen.de/itc-events/en/event/landesweiter-technologieworkshop/
LOCATION:Zoom
CATEGORIES:Einmalig
ATTACH;FMTTYPE=image/jpeg:https://blog.rwth-aachen.de/itc-events/files/2023/04/idm-nrw_Kooperationsvorhaben_Logo_CMYK.jpg
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DTSTART;TZID=Europe/Berlin:20230228T133000
DTEND;TZID=Europe/Berlin:20230301T133000
DTSTAMP:20260504T061717
CREATED:20230105T130238Z
LAST-MODIFIED:20240405T120928Z
UID:6245-1677591000-1677677400@blog.rwth-aachen.de
SUMMARY:NHR4CES Community Workshop 2023
DESCRIPTION:Title: NHR4CES Community Workshop 2023 – Machine Learning in Computational Fluid Dynamics \nEvent type: Workshop \nDate & Time: February 28\, 2023\, 1.30pm – 5.30pm and March 1\, 2023\, 9.00am – 1.30pm\n \nFormat: Online\n \nContact: office@nhr.tu-darmstadt.de \nContact persons: Jonas Seng\, Dr. Martin Smuda and Ludovico Nista \nRegistration \n*More information*  \n\n  \nDesciption  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nBig data and Machine Learning (ML) are driving comprehensive economic and social transformations and are rapidly becoming a core technology for scientific computing\, with numerous opportunities to advance different research areas such as Computational Fluid Dynamics (CFD). \nThe combination of CFD with ML has been already applied to several CFD configurations and is a promising research direction with the potential to enable the advancement of so far unsolved problems\, thanks to the ability of deep models to learn in a hierarchical manner with little to no need for prior knowledge.\nHowever\, this approach presents a paradigm shift to change the focus of CFD from time-consuming feature detection to in-depth examinations of relevant features\, enabling deeper insight into the physics involved in complex natural processes. \nThe workshop is designed to highlight some of the areas of the highest potential impact\, including improving turbulence and combustion closure modeling\, developing reduced-order models\, and designing versatile neural network architectures. Emerging ML areas that are promising for CFD\, as well as some potential limitations\, will be discussed.\nThe workshop aims at gathering different research groups\, by providing a venue to exchange new ideas\, discuss challenges\, and expose this new research field to a broader community.
URL:https://blog.rwth-aachen.de/itc-events/en/event/nhr4ces-community-workshop-2023/
LOCATION:Online\, Deutschland
CATEGORIES:Einmalig,HPC Events,NHR4CES Events
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