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  Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X

Aymerich, E., Pisano, F., Cannas, B., Sias, G., Fanni, A., Gao, Y., et al. (2023). Physics Informed Neural Networks towards the real-time calculation of heat fluxes at W7-X. Nuclear Materials and Energy, 34: 101401. doi:10.1016/j.nme.2023.101401.

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Item Permalink: https://hdl.handle.net/21.11116/0000-000C-C68A-9 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-C68B-8
Genre: Journal Article

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https://doi.org/10.1016/j.nme.2023.101401 (Publisher version)
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Open Access
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Creators

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 Creators:
Aymerich, E.1, Author
Pisano, F.1, Author
Cannas, B.1, Author
Sias, G.1, Author
Fanni, A.1, Author
Gao, Y.2, Author                 
Böckenhoff, D.2, Author                 
Jakubowski, M.2, Author                 
W7-X Team, Max Planck Institute for Plasma Physics, Max Planck Society, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Stellarator Heating and Optimisation (E3), Max Planck Institute for Plasma Physics, Max Planck Society, ou_2040305              

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Free keywords: Konferenzbeitrag
 Abstract: -

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Language(s): eng - English
 Dates: 20222023
 Publication Status: Published online
 Pages: 4 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.nme.2023.101401
 Degree: -

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Project name : Euratom Research and Training Programme 2021-2027 – EUROfusion
Grant ID : 101052200
Funding program : Horizon Europe (HE)
Funding organization : European Commission (EC)

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Title: Nuclear Materials and Energy
  Subtitle : 25th International Conference on Plasma Surface Interaction in Controlled Fusion Devices (PSI 25), Jeju, 2022-06-13 to 2022-06-17
Source Genre: Journal
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Publ. Info: Amsterdam : Elsevier B.V.
Pages: - Volume / Issue: 34 Sequence Number: 101401 Start / End Page: - Identifier: CoNE: https://pure.mpg.de/cone/journals/resource/2352-1791