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  Magnetohydrodynamic eigenfunction classification with a Neural Network

Kuczynski, M. D., Borchardt, M., Kleiber, R., Könies, A., & Nührenberg, C. (2022). Magnetohydrodynamic eigenfunction classification with a Neural Network. Journal of Computational and Applied Mathematics, 406: 113889. doi:10.1016/j.cam.2021.113889.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0009-EF46-C Version Permalink: https://hdl.handle.net/21.11116/0000-000C-AF65-E
Genre: Journal Article

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kuczynski_magnetohydrodynamic.pdf (Supplementary material), 734KB
 
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https://doi.org/10.1016/j.cam.2021.113889 (Publisher version)
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 Creators:
Kuczynski, M. D.1, Author           
Borchardt, M.1, Author           
Kleiber, R.1, Author           
Könies, A.1, Author           
Nührenberg, C.1, Author           
Affiliations:
1Stellarator Theory (ST), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856287              

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Language(s): eng - English
 Dates: 20202022
 Publication Status: Issued
 Pages: 8 p.
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 Rev. Type: Peer
 Identifiers: DOI: 10.1016/j.cam.2021.113889
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Project name : Euratom Research and Training Programme 2014-2018 and 2019-2020 – EUROfusion
Grant ID : 633053
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)

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Title: Journal of Computational and Applied Mathematics
Source Genre: Journal
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Pages: - Volume / Issue: 406 Sequence Number: 113889 Start / End Page: - Identifier: -