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UID:20250513T162223EDT-3700cSDtfb@132.216.98.100
DTSTAMP:20250513T202223Z
DESCRIPTION:Mathematics of Digital Twins\n\nBy Dongbin Xiu\n\nProfessor and
  Ohio Eminent Scholar\n	Ohio State University\n\nDate: November 14\, 2024\n
 	Time: 11:00am to 1:00pm\n\nRegister & watch the webinar\n\nAbstract\n\nThe
  unprecedented progresses in sensing\, communications\, data processing\, 
 and computing have enabled Digital Twin approach as a revolutionary means 
 towards digital transformation. In recent years\, the concept of Digital T
 win has been widely acknowledged in a variety of industries\, as well as i
 n academia. In different disciplines\, the objective and implementation of
  Digital Twin are different\, resulting in development of different tools 
 and techniques. In this talk\, we examine the essential mathematical tools
  that are essential to the foundation of Digital Twin. Our focus is on the
  critical numerical methods that enable seamless data exchange between the
  physical twin and the digital twin\, reliable uncertainty quantification\
 , and accurate modeling of multi-component systems. More specifically\, we
  discuss a set of data driven modeling methods and machine learning tools\
 , as well as a PDDP framework for Digital Twin\, that are critical to the 
 real-time control and optimization to the physical twin.\n
DTSTART:20241114T160000Z
DTEND:20241114T180000Z
SUMMARY:MCCHE Precision Convergence Webinar Series with Dongbin Xiu
URL:/desautels/channels/event/mcche-precision-converge
 nce-webinar-series-dongbin-xiu-360921
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