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SUMMARY:Michael P. Brenner (Harvard University)
DTSTART:20200701T190000Z
DTEND:20200701T195000Z
DTSTAMP:20260423T040105Z
UID:SciDL/7
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/SciDL/7/">Ma
 chine Learning for Partial Differential Equations</a>\nby Michael P. Brenn
 er (Harvard University) as part of Workshop on Scientific-Driven Deep Lear
 ning (SciDL)\n\n\nAbstract\nI will discuss several ways in which machine l
 earning can be used for solving and understanding the solutions of nonline
 ar partial differential equations. Most of the talk will focus on learning
  discretizations for coarse graining the numerical solutions of PDEs. I wi
 ll start with examples in 1d\, and then move on to advection/diffusion in 
 a turbulent flow and then the Navier Stokes equation.\n
LOCATION:https://researchseminars.org/talk/SciDL/7/
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