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On the potential of physics-informed neural networks to solve inverse problems in tokamaks

Magnetic confinement nuclear fusion holds great promise as a source of clean and sustainable energy for the future. However, achieving net energy from fusion reactors requires a more profound understanding of the underlying physics and the development of efficient control strategies. Plasma diagnost...

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Autori principali: Riccardo Rossi, Michela Gelfusa, Andrea Murari, on behalf of JET contributors
Natura: Artigo
Lingua:Inglês
Pubblicazione: IOP Publishing 2023-01-01
Serie:Nuclear Fusion
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Accesso online:https://doi.org/10.1088/1741-4326/ad067c
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