Skip to main navigation Skip to search Skip to main content

Milestone in predicting core plasma turbulence: successful multi-channel validation of the gyrokinetic code GENE

  • Max-Planck-Institut für Plasmaphysik (IPP)
  • Technical University of Munich (TUM)
  • University of Stuttgart
  • MIT Massachusetts Institute of Technology
  • Ecole Polytechnique Fédérale de Lausanne (EPFL)
  • General Atomics
  • University of Paris-Saclay
  • Hungarian Academy of Sciences Centre for Energy Research (mtaEK)
  • Chinese Academy of Sciences
  • Institute of Plasma Physics and Laser Microfusion (IPPLM/IFPILM)
  • Culham Science Centre
  • Aalto University

Research output: Contribution to journalArticleScientificpeer-review

Abstract

On the basis of several recent breakthroughs in fusion research, many activities have been launched around the world to develop fusion power plants on the fastest possible time scale. In this context, high-fidelity simulations of the plasma behavior on large supercomputers provide one of the main pathways to accelerating progress by guiding crucial design decisions. When it comes to determining the energy confinement time of a magnetic confinement fusion device, which is a key quantity of interest, gyrokinetic turbulence simulations are considered the approach of choice – but the question, whether they are really able to reliably predict the plasma behavior is still open. The present study addresses this important issue by means of careful comparisons between state-of-the-art gyrokinetic turbulence simulations with the GENE code and experimental observations in the ASDEX Upgrade tokamak for an unprecedented number of simultaneous plasma observables.

Original languageEnglish
Article number2558
JournalNature Communications
Volume16
Issue number1
DOIs
Publication statusPublished - 15 Mar 2025
MoE publication typeA1 Journal article-refereed

Funding

This work has been carried out within the framework of the EUROfusion Consortium, funded by the European Union via the Euratom Research and Training Programme (Grant Agreement No 101052200 — EUROfusion). This work is supported by the US Department of Energy under grants DE-SC0014264, DE-SC0006419, and DE-SC0017381.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Fingerprint

Dive into the research topics of 'Milestone in predicting core plasma turbulence: successful multi-channel validation of the gyrokinetic code GENE'. Together they form a unique fingerprint.

Cite this