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CALSCALE:GREGORIAN
X-WR-CALNAME:Towards Real-Time Probabilistic SciML algorithms for Digital T
 wins with Dr. Tan Bui
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260606T045819Z
UID:tag:localist.com\,2008:EventInstance_50949559062648
DTSTART:20251114T190000Z
DTEND:20251114T200000Z
DESCRIPTION:Join us for Dr. Tan Bui's seminar hosted by UNC Charlotte's Cen
 ter for Trustworthy Artificial Intelligence in Model Risk Management (TAIM
 ing AI). \n\n \n\nAbstract:\n\nDigital twins/models (DTs) are designed to 
 be replicas of systems and processes. At the core of a digital twin (DT) a
 re  physical/mathematical models that capture the behavior of the real sys
 tem across temporal and spatial scales. One of the key roles of DTs is ena
 bling “what if” scenario testing of hypothetical simulations to unders
 tand the implications at any point throughout the life cycle of the proces
 s\, to monitor the process\, to calibrate parameters to match the actual p
 rocess and to quantify the uncertainties. In this talk\, we will present v
 arious real-time Scientific Deep Learning (SciDL) approaches for forward\,
  inverse/calibration\, and UQ problems. Both theoretical and numerical res
 ults for various problems including transport\, heat\, Burgers\, (transoni
 c and hypersonic) Euler\, and Navier-Stokes equations will be presented.\n
 \n \n\nFor more information\, or to join our mailing list please email tai
 ming-ai@charlotte.edu
GEO:35.306326;-80.729993
LOCATION:Friday\, 107
SUMMARY:Towards Real-Time Probabilistic SciML algorithms for Digital Twins 
 with Dr. Tan Bui
URL;VALUE=URI:https://campusevents.charlotte.edu/event/towards-real-time-pr
 obabilistic-sciml-algorithms-for-digital-twins-with-dr-tan-bui
CATEGORIES:Conferences & Workshops
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