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Fig. 3 — Magnetic control of tokamak plasmas through deep reinforcement learning.
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Created: 2026-04-21T18:29:40
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ID: paper-fig-paper-ca17ff7c4a73-3
Fig. 3Figure 3
Control demonstrations. Control demonstrations obtained during TCV experiments. Target shape points with 2 cm radius (blue circles), compared with the equilibrium reconstruction plasma boundary (black continuous line). In all figures, the first time slice shows the handover condition. a , Elongation of 1.9 with vertical instability growth rate of 1.4 kHz. b , Approximate ITER-proposed shape with neutral beam heating (NBH) entering H-mode. c , Diverted negative triangularity of −0.8. d , Snowflake configuration with a time-varying control of the bottom X-point, where the target X-points are marked in blue. Extended traces for these shots can be found in Extended Data Fig. 2. Source data
▸Metadata
| pmid | paper-ca17ff7c4a73 |
| caption | Control demonstrations. Control demonstrations obtained during TCV experiments. Target shape points with 2 cm radius (blue circles), compared with the equilibrium reconstruction plasma boundary (black |
| image_url | https://www.ebi.ac.uk/europepmc/articles/PMC8850200/bin/41586_2021_4301_Fig3_HTML.jpg |
| paper_title | Magnetic control of tokamak plasmas through deep reinforcement learning. |
| figure_label | Fig. 3 |
| figure_number | 3 |
| _schema_version | 1 |
| source_strategy | pmc_api |
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