Magnetic control of tokamak plasmas through deep reinforcement learning
2022 · Nature · 671 citations
https://doi.org/10.1038/s41586-021-04301-9
S
S. Coda
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S. Coda is an academic researcher from University of Lisbon. The author has contributed to research in topics: Magnetic confinement fusion research & Ionosphere and magnetosphere dynamics & Fusion materials and technologies. The author has an h-index of 46, co-authored 383 publications.
ORCID: 0000-0002-8010-4971Papers by this author
worksOverview of the JET results in support to ITER
2017 · Nuclear Fusion · 177 citations
https://doi.org/10.1088/1741-4326/aa5e28
Dependence on plasma shape and plasma fueling for small edge-localized mode regimes in TCV and ASDEX Upgrade
2019 · Nuclear Fusion · 51 citations
https://doi.org/10.1088/1741-4326/ab2211
Overview of physics studies on ASDEX Upgrade
2019 · Nuclear Fusion · 46 citations
https://doi.org/10.1088/1741-4326/ab18b8
Overview of progress in European medium sized tokamaks towards an integrated plasma-edge/wall solution <sup>a</sup>
2017 · Nuclear Fusion · 39 citations
https://doi.org/10.1088/1741-4326/aa6084
Upgrade of the neutral beam heating system on the TCV tokamak – second high energy neutral beam
2022 · Fusion Engineering and Design · 27 citations
https://doi.org/10.1016/j.fusengdes.2022.113384
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