On benchmarking of simulations of particle transport in ITER

Yong-Su Na(Seoul National University), Xingqiu Yuan(Argonne National Laboratory), J.M. Park(Oak Ridge National Laboratory), J. García(Commissariat à l'Énergie Atomique et aux Énergies Alternatives), C. Kessel(Lawrence Livermore National Laboratory), A. Fukuyama(Kyoto University), F. M. Poli(Princeton Plasma Physics Laboratory), O. Sauter(Max Planck Institute for Plasma Physics), A. C. C. Sips(Max Planck Society), C.S. Byun(Seoul National University), D.H. Na(Seoul National University), F. Koechl(Culham Centre for Fusion Energy), A. Teplukhina(École Polytechnique Fédérale de Lausanne), T.C. Luce(ITER), F. Felici(Google DeepMind (United Kingdom)), Jaemin Seo(Seoul National University), A.R. Polevoi(Lawrence Livermore National Laboratory), N. Hayashi(Japan Atomic Energy Agency), I. Voitsekhovitch, Apiwat Wisitsorasak(King Mongkut's University of Technology Thonburi), P. Strand(Chalmers University of Technology)
Nuclear Fusion
April 4, 2019
10.1088/1741-4326/ab15e0
Cited by 17

Related Papers

Magnetic control of tokamak plasmas through deep reinforcement learning
|Nature|2022|698
Chapter 6: Steady state operation
|Nuclear Fusion|2007|379
A sustained high-temperature fusion plasma regime facilitated by fast ions
|Nature|2022|123
Steady state advanced scenarios at ASDEX Upgrade
|Plasma Physics and Controlled Fusion|2002|118
The ‘hybrid’ scenario in JET: towards its validation for ITER
|Nuclear Fusion|2005|111