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  Reconstruction of magnetic configurations in W7-X using artificial neural networks

Böckenhoff, D., Blatzheim, M., Hölbe, H., Niemann, H., Pisano, F., Labahn, R., et al. (2018). Reconstruction of magnetic configurations in W7-X using artificial neural networks. Nuclear Fusion, 58: 056009. doi:10.1088/1741-4326/aab22d.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-F449-B Version Permalink: http://hdl.handle.net/21.11116/0000-0004-4340-8
Genre: Journal Article

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böckenhoff_reconstruction.pdf (Supplementary material), 4MB
 
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https://doi.org/10.1088/1741-4326/aab22d (Publisher version)
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 Creators:
Böckenhoff, D.1, Author              
Blatzheim, M.1, 2, Author              
Hölbe, H.1, Author              
Niemann, H.1, Author              
Pisano, F.2, Author
Labahn, R.2, Author
Pedersen, T. S.1, Author              
W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
Affiliations:
1Stellarator Edge and Divertor Physics (E4), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856286              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20172018
 Publication Status: Published in print
 Pages: 10 p.
 Publishing info: -
 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.1088/1741-4326/aab22d
 Degree: -

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Project name : Euratom Research and Training Programme 2014-2018 – EUROfusion
Grant ID : 633053
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Nuclear Fusion
Source Genre: Journal
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Publ. Info: Bristol; Vienna : IOP Publishing; IAEA
Pages: - Volume / Issue: 58 Sequence Number: 056009 Start / End Page: - Identifier: ISSN: 0029-5515
CoNE: https://pure.mpg.de/cone/journals/resource/991042749627140