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SUMMARY:Representing The Solution Operator For The Navier-Stokes Equation 
 - Andrew Stuart (CALTECH (California Institute of Technology))
DTSTART:20220401T123000Z
DTEND:20220401T130000Z
UID:TALK171239@talks.cam.ac.uk
DESCRIPTION:For several hundred years our models of continuum phenomena ha
 ve been constructed from basic primitives which directly express balance l
 aws and constitutive models. In this talk we explore the possibility of us
 ing ideas from machine learning to represent the predictions of these bala
 nce laws in new forms. These new representations appear to allow for cheap
  computational primitives\, in certain regimes\, which outperform existing
  solvers based on discretization of the balance laws. These ideas are exem
 plified in the context of 2D isoptropic incompressible turbulent flow.
LOCATION:Seminar Room 1\, Newton Institute
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