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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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Bibliographic Details
Main Authors: Riccardo Rossi, Michela Gelfusa, Andrea Murari, on behalf of JET contributors
Format: Artigo
Language:Inglês
Published: IOP Publishing 2023-01-01
Series:Nuclear Fusion
Subjects:
Online Access:https://doi.org/10.1088/1741-4326/ad067c
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