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  Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling

Ho, A., Citrin, J., Auriemma, F., Bourdelle, C., Casson, F. J., Kim, H.-T., et al. (2019). Application of Gaussian process regression to plasma turbulent transport model validation via integrated modelling. Nuclear Fusion, 59: 056007. doi:10.1088/1741-4326/ab065a.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0003-40FF-6 Version Permalink: https://hdl.handle.net/21.11116/0000-0005-F71B-7
Genre: Journal Article

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https://doi.org/10.1088/1741-4326/ab065a (Publisher version)
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 Creators:
Ho, A.1, Author
Citrin, J.1, Author
Auriemma, F.1, Author
Bourdelle, C.1, Author
Casson, F. J.1, Author
Kim, H.-T.1, Author
Manas, P.2, Author           
Szepesi, G.1, Author
Weisen, H.1, Author
JET Contributors, Author              
Affiliations:
1External Organizations, ou_persistent22              
2Tokamak Scenario Development (E1), Max Planck Institute for Plasma Physics, Max Planck Society, ou_1856321              

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Language(s): eng - English
 Dates: 2019
 Publication Status: Issued
 Pages: 18 p.
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.1088/1741-4326/ab065a
 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: 59 Sequence Number: 056007 Start / End Page: - Identifier: ISSN: 0029-5515
CoNE: https://pure.mpg.de/cone/journals/resource/991042749627140