Rapid optimization of stationary tokamak plasmas in RAPTOR: demonstration for the ITER hybrid scenario with neural network surrogate transport model QLKNN-Reference-Cited by-同舟云学术

Rapid optimization of stationary tokamak plasmas in RAPTOR: demonstration for the ITER hybrid scenario with neural network surrogate transport model QLKNN

Published:2021-07-13 Issue:8 Volume:61 Page:086019
ISSN:0029-5515
Container-title:Nuclear Fusion
language:
Short-container-title:Nucl. Fusion

Author:

Van Mulders S.^ORCID,Felici F.^ORCID,Sauter O.^ORCID,Citrin J.^ORCID,Ho A.^ORCID,Marin M.,van de Plassche K.L.^ORCID

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

IOP Publishing

Subject

Condensed Matter Physics,Nuclear and High Energy Physics

Link

https://iopscience.iop.org/article/10.1088/1741-4326/ac0d12/pdf

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4. Non-linear model-based optimization of actuator trajectories for tokamak plasma profile control;Felici;Plasma Phys. Control. Fusion,2012

5. Numerical optimization of actuator trajectories for ITER hybrid scenario profile evolution;van Dongen;Plasma Phys. Control. Fusion,2014

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