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Milestone in predicting core plasma turbulence: successful multi-channel validation of the gyrokinetic code GENE
Max Planck Institute for Plasma Physics, Boltzmannstr. 2, Garching, Germany; Technical University of Munich, TUM School of Natural Sciences, Physics Department, James-Franck-Str. 1, Garching, Germany.
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KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Electromagnetic Engineering and Fusion Science.ORCID iD: 0000-0001-9901-6296
KTH, School of Electrical Engineering and Computer Science (EECS), Electrical Engineering, Space and Plasma Physics.ORCID iD: 0000-0002-6712-3625
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Number of Authors: 4442025 (English)In: Nature Communications, E-ISSN 2041-1723, Vol. 16, no 1, article id 2558Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
Springer Nature , 2025. Vol. 16, no 1, article id 2558
National Category
Fusion, Plasma and Space Physics
Identifiers
URN: urn:nbn:se:kth:diva-362017DOI: 10.1038/s41467-025-56997-2ISI: 001445635700003PubMedID: 40089474Scopus ID: 2-s2.0-105000435249OAI: oai:DiVA.org:kth-362017DiVA, id: diva2:1949690
Note

QC 20250403

Available from: 2025-04-03 Created: 2025-04-03 Last updated: 2025-04-03Bibliographically approved

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Rubel, MarekRatynskaia, Svetlana V.Petersson, PerFrassinetti, Lorenzo

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