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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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
IOP Publishing
2023-01-01
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| Edice: | Nuclear Fusion |
| Témata: | |
| On-line přístup: | https://doi.org/10.1088/1741-4326/ad067c |
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