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  Deep Learning for Tomography, State Classification and Event Detection in Nuclear Fusion Plasmas

Duarte Pinto de Almeida Matos, F. (2021). Deep Learning for Tomography, State Classification and Event Detection in Nuclear Fusion Plasmas (PhD Thesis, Technische Universität München, München, 2021).

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Item Permalink: https://hdl.handle.net/21.11116/0000-000D-85E6-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000D-873A-A
Genre: Thesis
Other : Entwicklung eines hochleistungsfähigen gyrokinetischen Turbulenzcodes für den Randbereich von Fusionsreaktoren

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matos_deep.pdf (Supplementary material), 17MB
 
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https://mediatum.ub.tum.de/?id=1579791 (Supplementary material)
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 Creators:
Duarte Pinto de Almeida Matos, F.1, Author           
Affiliations:
1Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309              

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Language(s): eng - English
 Dates: 2021
 Publication Status: Published online
 Pages: 228 p.
 Publishing info: München : Technische Universität München
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 Degree: PhD

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