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UID:6a132e9038008
SUMMARY:Free Online Seminar: Toward a Data-Driven Multi-Scale Understanding
  of Fluid Machinery via High-Fidelity Simulations
DESCRIPTION:We are happy to invite you to the free online seminar titled: \
 "Toward a Data-Driven Multi-Scale Understanding of Fluid Machinery via Hig
 h-Fidelity Simulations.\" The seminar will be presented by Prof. Davide Le
 ngani\, Associate Professor at the University of Genova and currently a vi
 siting professor in the VKI Turbomachinery and Propulsion Department.
 Da
 te: Friday\, May 30Time: 11:00 AM – 12:30 PM
 Abstract:In our current 
 “age of data\,” high-fidelity experiments and numerical simulations ca
 n easily generate terabytes of data. While traditional statistical approac
 hes offer important information\, there is growing potential to complement
  them with more detailed data-driven analyses. This is especially relevant
  given the challenges of processing large datasets on local workstations.
 
 High-performance computing not only enables high-fidelity simulations bu
 t also provides powerful tools for advanced data analytics. In this semina
 r\, I will discuss the current capabilities of “high-performance” data
  analytics for investigating transport equations in high-fidelity simulati
 ons\, and I will share insights into multi-scale flow field decomposition.
 
 Before registering\, please check our eligibility criteria.
  
LOCATION:Sint-Genesius-Rode\, 1640 Flemish Brabant\, Belgium
DTSTART:20250530T110000Z
DTEND:20250530T123000Z
DTSTAMP:20220307T101637Z
ORGANIZER;CN=VKI Secretariat:MAILTO:secretariat@vki.ac.be
GEO:50.73507;4.396005
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=Sint-Genesius-Rode\, 1640 F
 lemish Brabant\, Belgium;X-APPLE-RADIUS=72;X-TITLE=von Karman Institute fo
 r Fluid Dynamics:50.73507;4.396005
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