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UID:0-6@aerospace.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20221102T133000

DTEND;TZID=Asia/Jerusalem:20221102T143000

DTSTAMP:20221030T083456Z

URL:https://aerospace.technion.ac.il/events/analytical-modeling-of-the-sol
 ar-radiation-pressure-by-canonical-methods/

SUMMARY:Physics-constrained machine learning in unpredictable fluids
DESCRIPTION:Lecturer:Dr. Luca Magri\n Faculty:Department of Aerospace Engin
 eering\n Institute:Technion – Israel Institute of Technology\n Location:
 \n Zoom: https://technion.zoom.us/j/95437411538\n Abstract: The ability of
  fluid mechanics modelling to predict the evolution of a flow is enabled b
 y physical principles and empirical approaches. Physical principles\, for
  example conservation laws\, are extrapolative (until the assumptions upon
  which they hinge break down): they provide predictions on phenomena that 
 have not been observed. Human beings are excellent at extrapolating knowle
 dge because we are excellent at finding physical principles. Empirical mod
 elling provides correlation functions within data. Artificial intelligence
  and machine learning are excellent at empirical modelling. In this talk\,
  the complementary capabilities of both approaches will be exploited to 
 achieve adaptive modelling and optimization of nonlinear\, unsteady and un
 certain flows. The focus of the talk is on computational methodologies for
  modelling and optimization of increasingly complex flows: (i) data assimi
 lation with a Bayesian approach for controlling thermoacoustic oscillation
 s in rockets/gas turbines\, (ii) auto-encoders for reduced-order modelling
  of turbulent flows\, which generalise POD/DMD methods to nonlinear dynami
 cs\; and (iii) modelling of multi-phase flows (time permitting). The flows
  under investigation are relevant to aerospace propulsion\, with a focus o
 n thermoacoustics\, and turbulence.\n Details: \n Dr. Luca Magri - Guest l
 ecture - Imperial College London\; The Alan Turing Institute\; University 
 of Cambridge\; Technion (visiting)
CATEGORIES:Seminars

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