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SUMMARY:Deep neural network algorithms for oscillatory flows and operators
 \, and high dimensional Fokker-Planck equations - Wei Cai (Southern Method
 ist University)
DTSTART:20211115T160000Z
DTEND:20211115T163000Z
UID:TALK165394@talks.cam.ac.uk
DESCRIPTION:In this talk\, we will present results on new types of deep ne
 ural network (DNN) in the following areas: (a) a multi-scale DNN method fo
 r solving&nbsp\; highly oscillatory Navier-Stokes flows in complex domains
  (b) a multiscale DNN learning algorithm for nonlinear operators in highly
  oscillatory function spaces encountered in&nbsp\; seismic wave responses 
 and forward and inverse problems of high frequency wave scattering\; (c) a
  DNN based on forward and backward stochastic differential equations (FBSD
 Es) for high dimensional PDEs such as Fokker-Planck equations in statistic
 al description of biochemical systems\, with application to compute the co
 mmittor functions and reaction rates in transition path sampling theory of
  complex chemical and biological systems.
LOCATION:Seminar Room 1\, Newton Institute
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