BEGIN:VCALENDAR
VERSION:2.0
CALSCALE:GREGORIAN
PRODID:UW-Madison-Physics-Events
BEGIN:VEVENT
SEQUENCE:3
UID:UW-Physics-Event-9832
DTSTART:20260928T170000Z
DTEND:20260928T180000Z
DTSTAMP:20260925T030149Z
LAST-MODIFIED:20260921T194752Z
LOCATION:2241 Chamberlin Hall
SUMMARY:Magnetic Fusion Energy research at LLNL\, Plasma Physics (Phys
 ics/ECE/NE 922) Seminar\, Ben Dudson\, Lawrence Livermore National Lab
 oratory
DESCRIPTION:Lawrence Livermore National Laboratory (LLNL) has a leadin
 g role in the US and world Magnetic Fusion Energy (MFE) program\, addr
 essing critical issues facing the tokamak\, stellarator\, and magnetic
  mirror approaches to fusion energy production. The LLNL Fusion Energy
  Sciences Program leads diagnostic development and experimental resear
 ch at the DIII-D National Fusion Facility in San Diego\, at the LTX-be
 ta and NSTX-U facilities in Princeton NJ\, and on international facili
 ties. Our theory group works closely with experimental groups to plan 
 and interpret experiments\, with national and international collaborat
 ors to address gaps in understanding of plasma phenomena\, and increas
 ingly with private fusion companies to inform the design and operation
  of future fusion devices. The focus of our research is the boundary b
 etween hot plasma and material surfaces\, that strongly influences bot
 h fusion performance and the survival of materials in an extreme envir
 onment. We work with mathematicians and computer scientists to develop
  unique fluid and kinetic plasma models that we apply to understand an
 d predict the turbulent spreading of heat and mixing of hydrogen\, hel
 ium and heavy impurity species. Active research areas with important i
 mplications for the program include turbulence self-regulation\; non-M
 axwellian distributions and their effect on heat transport and atomic 
 reactions\; and control of radiation condensation instabilities.  A gr
 owing theme is the use of AI/ML to accelerate and automate our modelin
 g tools\, for both design optimization and real-time control e.g. An L
 LNL team (X.Xu\, B.Zhu\, M.Zhao et al) developed a surrogate model tha
 t has been deployed in a real-time control system on the KSTAR tokamak
  in S. Korea. <br>\n <br>\nBiography: <br>\nBen Dudson is Associate Pr
 ogram Leader of the Magnetic Fusion Energy (MFE) Theory and Modeling g
 roup in the LLNL Fusion Energy Sciences Program. He received an MSci i
 n Physics from Imperial College in 2003\, and DPhil in Plasma Physics 
 from the University of Oxford and UKAEA Culham in 2008\, for which he 
 performed simulations and experiments on the Mega-Amp Spherical Tokama
 k (MAST). Ben’s research interests are in the boundary region and po
 wer exhaust handling in magnetically confined fusion plasmas\, a criti
 cal aspect of the design and operation of future devices. To do this h
 e develops and applies simulation tools to study the interaction of tu
 rbulent plasmas with neutral gas\, material surfaces and radiating imp
 urity species.
URL:https://www.physics.wisc.edu/events/?id=9832
END:VEVENT
END:VCALENDAR
