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DTSTART;TZID=Europe/Stockholm:20240604T160000
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UID:submissions.pasc-conference.org_PASC24_sess117@linklings.com
SUMMARY:MS4G - High Performance Computing for Magnetic Fusion Applications
  - Part II
DESCRIPTION:Minisymposium\n\nThis series of three minisymposia will be ded
 icated to addressing frontier challenges in magnetic fusion research. (1) 
 Machine Learning and Quantum Computing: the four speakers will cover vario
 us aspects of machine learning, from real-time control of tokamaks to turb
 ulence simulations to HPC issues. One talk will be devoted to the topic of
  quantum computing and examine opportunities for application in the field 
 of fusion plasma physics. (2) New developments for Edge and Scrape-Off Lay
 er (SOL) simulations: this is recognized as a frontier domain, involving s
 ignificant challenges at various levels. Three talks will be devoted to pr
 ogress made on three different kinetic codes, while a generalization of gy
 rokinetic models to magnetized sheath conditions will be presented in a fo
 urth talk. (3) Beyond gyrokinetic models: standard gyrokinetic theories ha
 ve their limitations which prevent them to be applied as is to various sit
 uations, in particular in presence of steep gradients as found in the oute
 r plasma region. Advanced kinetic simulations beyond the standard gyrokine
 tic approach used in magnetic fusion will be presented. The relation betwe
 en (fully-)kinetic, gyrokinetic, drift-kinetic and the MHD limit of these 
 will be discussed. In all three sessions, the latest HPC applications in t
 he field will be emphasized.\n\nTowards Exascale Full Kinetic Modelling of
  the Tokamak Scrape-Off Layer\n\nIn this work we describe a fully kinetic 
 PIC MC (Particle in Cell Monte Carlo) code, BIT1, used for the simulation 
 of plasma, neutral, and impurity particle transport in the tokamak edge [2
 ]. BIT1 has several unique features enabling near ab-initio modeling of no
 nlinear processes in the plasma edge:...\n\n\nDavid Tskhakaya (Institute o
 f Plasma Physics of the Czech Academy of Sciences), Jeremy Williams (KTH R
 oyal Institute of Technology), Stefan Costea (University of Ljubljana), St
 efano Markidis (KTH Royal Institute of Technology), Alejandro Soba (Barcel
 ona Supercomputing Center), Leon Kos (University of Ljubljana), and Anibal
  Moreno (SiPearl company)\n---------------------\nA Semi-Implicit Gyrokine
 tc Ion – Fluid Electron Hybrid Model for Edge Plasma Simulations\n\nWe rep
 ort progress on the development and application of a hybrid gyrokinetic io
 n–fluid electron model for simulations of cross-separatrix plasma transpor
 t in the edge region of a divertor tokamak. The hybrid model includes ion-
 scale ion temperature gradient (ITG) and resistive drift and ballo...\n\n\
 nMikhail Dorf, Milo Dorr, and Debojyoti Ghosh (Lawrence Livermore National
  Laboratory)\n---------------------\nAccurate Sheath Boundary Conditions i
 n Fusion Plasmas\n\nThe magnetised plasma sheath is a boundary layer, whos
 e thickness is a few ion Larmor radii, appearing next to the solid targets
  of a fusion device. It is a multi-scale region, including the Debye lengt
 h and electron gyroradius as additional smaller length scales. It is there
 fore rich in physics and...\n\n\nAlessandro Geraldini (EPFL)\n------------
 ---------\nTowards Reactor-Scale Simulations of Edge and Scrape-Off Layer 
 Turbulence with the Global Gyrokinetic Code GENE-X\n\nFuture developments 
 towards magnetic confinement fusion energy depend on the understanding of 
 turbulent transport in the edge and scrape-off layer (SOL). Gyrokinetic si
 mulations are among the main tools used to improve our understanding of tu
 rbulence in the edge and SOL. Such global, high fidelity s...\n\n\nPhilipp
  Ulbl, Jordy Trilaksono, Baptiste Frei, and Frank Jenko (Max Planck Instit
 ute for Plasma Physics)\n\nDomain: Physics, Computational Methods and Appl
 ied Mathematics\n\nSession Chairs: Stephan Brunner (EPFL); Eric Sonnendrüc
 ker (Max Planck Institute for Plasma Physics, Technical University of Muni
 ch); and Laurent Villard (EPFL)
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