Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence

Anna Niemelä; Aaro Järvinen; Daniel Jordan; Amanda Bruncrona; Adam Kit; Lorenzo Frassinetti; David Hatch; Samuli Saarelma

Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence

Anna Niemelä^*
, Aaro Järvinen
, Daniel Jordan
, Amanda Bruncrona
, Adam Kit
, Lorenzo Frassinetti
, David Hatch
, Samuli Saarelma

^*Corresponding author for this work

BA4511 Fusion energy

KTH Royal Institute of Technology
The University of Texas at Austin
United Kingdom Atomic Energy Authority (UKAEA)

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Scientific

6 Downloads (Pure)

Original language	English
Title of host publication	51st EPS Conference on Plasma Physics
Editors	B.P. Duval
Publisher	European Physical Society
Number of pages	4
Publication status	Published - 2025
MoE publication type	Not Eligible
Event	51st EPS Conference on Plasma Physics, EPS 2025 - Vilnius, Lithuania Duration: 7 Jul 2025 → 11 Jul 2025

Publication series

Series	Europhysics Conference Abstracts
Volume	51A
ISSN	0378-2271

Conference

Conference	51st EPS Conference on Plasma Physics, EPS 2025
Country/Territory	Lithuania
City	Vilnius
Period	7/07/25 → 11/07/25

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120165_eps2025_paper_niemela_final (1)Final published version, 640 KB

https://lac913.epfl.ch/epsppd3/2025/html/PDF/P2_140.pdf

Cite this

Niemelä, A., Järvinen, A., Jordan, D., Bruncrona, A., Kit, A., Frassinetti, L., Hatch, D., & Saarelma, S. (2025). Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence. In B. P. Duval (Ed.), 51st EPS Conference on Plasma Physics Article P2.140 European Physical Society. https://lac913.epfl.ch/epsppd3/2025/html/PDF/P2_140.pdf

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title = "Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence",

author = "Anna Niemel{\"a} and Aaro J{\"a}rvinen and Daniel Jordan and Amanda Bruncrona and Adam Kit and Lorenzo Frassinetti and David Hatch and Samuli Saarelma",

year = "2025",

language = "English",

series = "Europhysics Conference Abstracts",

publisher = "European Physical Society",

editor = "B.P. Duval",

booktitle = "51st EPS Conference on Plasma Physics",

address = "France",

note = "51st EPS Conference on Plasma Physics, EPS 2025 ; Conference date: 07-07-2025 Through 11-07-2025",

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Niemelä, A , Järvinen, A , Jordan, D , Bruncrona, A , Kit, A, Frassinetti, L, Hatch, D & Saarelma, S 2025, Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence. in BP Duval (ed.), 51st EPS Conference on Plasma Physics., P2.140, European Physical Society, Europhysics Conference Abstracts, vol. 51A, 51st EPS Conference on Plasma Physics, EPS 2025, Vilnius, Lithuania, 7/07/25. <https://lac913.epfl.ch/epsppd3/2025/html/PDF/P2_140.pdf>

Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence. / Niemelä, Anna ; Järvinen, Aaro ; Jordan, Daniel et al.
51st EPS Conference on Plasma Physics. ed. / B.P. Duval. European Physical Society, 2025. P2.140 (Europhysics Conference Abstracts, Vol. 51A).

Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Scientific

TY - CHAP

T1 - Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence

AU - Niemelä, Anna

AU - Järvinen, Aaro

AU - Jordan, Daniel

AU - Bruncrona, Amanda

AU - Kit, Adam

AU - Frassinetti, Lorenzo

AU - Hatch, David

AU - Saarelma, Samuli

PY - 2025

Y1 - 2025

UR - https://www.scopus.com/pages/publications/105038872318

M3 - Conference abstract in proceedings

T3 - Europhysics Conference Abstracts

BT - 51st EPS Conference on Plasma Physics

A2 - Duval, B.P.

PB - European Physical Society

T2 - 51st EPS Conference on Plasma Physics, EPS 2025

Y2 - 7 July 2025 through 11 July 2025

ER -

Machine learning methods for modelling local, linear gyrokinetic simulations of MAST-U pedestal turbulence

Publication series

Conference

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