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  Plasma confinement mode classification using a sequence-to-sequence neural network with attention

Matos, F., Menkovski, V., Pau, A., Marceca, G., Jenko, F., & TCV Team (2021). Plasma confinement mode classification using a sequence-to-sequence neural network with attention. Nuclear Fusion, 61: 046019. doi:10.1088/1741-4326/abe370.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0008-3417-4 Version Permalink: https://hdl.handle.net/21.11116/0000-000C-DF71-A
Genre: Journal Article

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matos_plasma.pdf (Supplementary material), 2MB
 
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https://doi.org/10.1088/1741-4326/abe370 (Publisher version)
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Open Access
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 Creators:
Matos, F.1, Author           
Menkovski, V.2, Author
Pau, A.2, Author
Marceca, G.2, Author
Jenko, F.1, Author           
TCV Team, Author              
Affiliations:
1Tokamak Theory (TOK), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856309              
2External Organizations, ou_persistent22              

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Language(s): eng - English
 Dates: 20202021
 Publication Status: Issued
 Pages: 11 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1741-4326/abe370
 Degree: -

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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: Nuclear Fusion
Source Genre: Journal
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Publ. Info: Bristol; Vienna : IOP Publishing; IAEA
Pages: - Volume / Issue: 61 Sequence Number: 046019 Start / End Page: - Identifier: ISSN: 0029-5515
CoNE: https://pure.mpg.de/cone/journals/resource/991042749627140