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DTSTAMP:20250822T115810Z
LOCATION:Room 5.0B56
DTSTART;TZID=Europe/Stockholm:20250616T143000
DTEND;TZID=Europe/Stockholm:20250616T150000
UID:submissions.pasc-conference.org_PASC25_sess116_msa176@linklings.com
SUMMARY:Towards Reactor-Relevant Turbulence Predictions Using the Spectral
 ly Accelerated Full-F Gyrokinetic Code GENE-X
DESCRIPTION:Baptiste Frei (Max Planck Institute for Plasma Physics)\n\nUnd
 erstanding and predicting turbulence-driven transport across the edge and 
 scrape-off layer (SOL) are crucial for the success of magnetic confinement
  fusion devices. However, the challenging plasma conditions in the edge an
 d SOL require first-principles gyrokinetic (GK) simulations. To address th
 ese challenges, the GENE-X code has been developed to solve the full-f GK 
 model in magnetic geometries with X-points. While GENE-X simulations provi
 de an accurate description of edge and SOL turbulence, their computational
  cost remains prohibitively high, often requiring millions of CPU hours an
 d spanning over weeks or months. Although GPUs and exascale architectures 
 offer potential speed-ups, further advances in numerical algorithms are es
 sential.\nWe present a novel velocity-space spectral method, recently impl
 emented in the GENE-X code for the first time. The numerical implementatio
 n is rigorously verified, and performance benchmarks are conducted. Throug
 h a detailed analysis of spectral simulations, we demonstrate excellent ag
 reement with Eulerian (grid-based) GENE-X simulations, validated against e
 xperimental measurements. This allows us to identify the minimum spectral 
 resolution required to achieve accurate results, comparable to those from 
 grid-based simulations. We find that the spectral approach enables a signi
 ficant computational speed-up, reducing the velocity-space resolution by a
  factor of 50. The first applications in reactor-relevant scenarios will b
 e presented.\n\nDomain: Physics, Computational Methods and Applied Mathema
 tics\n\nSession Chair: Stephan Brunner (EPFL)\n\n
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