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DTSTART;TZID=Europe/Stockholm:20240603T143000
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UID:submissions.pasc-conference.org_PASC24_sess105@linklings.com
SUMMARY:MS2G - HPC Code Development for Multi-Scale Multiphysics Simulatio
 ns for Fusion Energy Design
DESCRIPTION:Minisymposium\n\nFusion energy is a grand challenge that can c
 ontribute to reducing greenhouse gas emissions and its negative effects on
  climate change. The successful deployment of fusion energy devices will d
 epend on the robust engineering design of every component. To fully unders
 tand the complexities of fusion energy systems, a multidisciplinary approa
 ch is needed. Regardless of the form it takes, a fusion energy device enco
 mpasses a wide array of length and time scales that will require novel com
 putational techniques to bridge the gaps existing between the multiple sca
 les and multiple physics. One avenue for addressing the fusion energy chal
 lenge is with high-fidelity simulations that are used to inform machine le
 arning and AI algorithms to produce reduced-order models. These computatio
 nal models accurately capture the physics while providing fast-running mac
 ro-scale, or engineering-scale, simulations for rigorous design optimizati
 ons. In this minisymposium, experts in modeling and simulation are brought
  together for fusion energy applications to lay out what is needed to buil
 d these simulations. The focus will be on bridging the gap that exists bet
 ween high-fidelity modeling and simulation, and engineering models.\n\nHPC
  Code Development Forum Discussion\n\nIn this open discussion, the obstacl
 es that must be overcome to effectively incorporate the relevant physics f
 or fusion energy devices will be considered. This round table discussion w
 ill explore the topics of the accompanying talks and will explore the aven
 ues for funding, timelines, and major hurt...\n\n\nFranklin Curtis and Stu
 art Slattery (Oak Ridge National Laboratory)\n---------------------\nDevel
 oping Turbulence Models with Mhd for Fusion Engineering\n\nThe fusion devi
 ce optimization will require accurate reduced order models to explore desi
 gn space and identify a conceptual design. Existing system codes used for 
 fusion applications rely on scaling laws that do not have desired accuracy
 . There is a need for knowledge transfer from high-fidelity to ...\n\n\nKa
 tarzyna Borowiec, Arpan Sircar, and Vittorio Badalassi (Oak Ridge National
  Laboratory)\n---------------------\nComputational Magnetohydrodynamics (C
 MHD) – Recent Progress and Future Directions for Fusion\n\nIn a fusion rea
 ctor  sub-system called blanket, a liquid breeder (liquid metal LM or molt
 en salt MS) flows for tritium breeding and conversion of plasma energy int
 o heat. LM flows in the fusion blanket are strongly affected by the plasma
 -confining magnetic field and volumetric heating that drastical...\n\n\nSe
 rgey Smolentsev (Oak Ridge National Laboratory)\n---------------------\nVe
 rtex-GITR, a Platform-Portable Framework for Particle-Fluid Hybrid Simulat
 ions of Plasma-Material Interactions\n\nThe plasma-material interaction po
 ses a common difficulty in all fusion concepts, affecting both armor mater
 ial lifetimes and fusion plasma performance. With long experimental lead t
 imes, modeling and simulation are critical drivers for advancement. This w
 ork presents a framework and specific applic...\n\n\nTimothy Younkin (Oak 
 Ridge National Laboratory)\n\nDomain: Engineering, Physics, Computational 
 Methods and Applied Mathematics\n\nSession Chair: Franklin Curtis (Oak Rid
 ge National Laboratory)
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