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VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
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SEQUENCE:1
UID:UW-Physics-Event-8593
DTSTART:20240129T180000Z
DTEND:20240129T191500Z
DTSTAMP:20260413T223304Z
LAST-MODIFIED:20240124T154655Z
LOCATION:1227 Engineering Hall
SUMMARY:Challenges and opportunities associated with first principal o
 ptimal design of fusion energy systems\, Plasma Physics (Physics/ECE/N
 E 922) Seminar\, Prof. Andrew Christlieb\, Michigan State University
DESCRIPTION:In this talk\, I am going to start out very broad and defi
 ne the multi-scale challenges associated with the goal of creating the
  mathematical tools that would enable optimal design of fusion energy 
 systems.  The twin challenges of the cursive dimensionality and the ne
 ed for structure preserving representations will play a central theme.
   I will highlight work going on across the Center for Hierarchical an
 d Robust Modeling of Non-Equilibrium Transport (CHaRMNET)\, a DoE MMIC
 C center\, targeted at addressing these issues. In the latter half of 
 my talk I will introduce the development of blended computing.  The go
 al in blended computing is the development of an augmented low fidelit
 y model that produces high fidelity results at the cost of the low fid
 elity model.  Here we are working in 1D with the BGK model of kinetic 
 theory.  In this context\, we are developing structure preserving mach
 ine learning surrogates to close the Grad moment expansion with high f
 idelity kinetic data.  Here\, structure preserving means that the mode
 l maintains the necessary hyperbolic structure for long-time stability
  of the model\, among other structure preserving properties.  This fra
 mework was developed as part of CHaRMNET and is being transitioned to 
 Los Alamos National Lab for reduced modeling of Fokker Planck descript
 ions of capsule implosion of inertial confinement fusion energy (IFE) 
 systems.
URL:https://www.physics.wisc.edu/events/?id=8593
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