001     904057
005     20240711113819.0
024 7 _ |a 10.1016/j.nme.2021.101010
|2 doi
024 7 _ |a 2128/29862
|2 Handle
024 7 _ |a altmetric:108613785
|2 altmetric
024 7 _ |a WOS:000663781100009
|2 WOS
037 _ _ |a FZJ-2021-05627
082 _ _ |a 624
100 1 _ |a Lawson, K. D.
|0 P:(DE-HGF)0
|b 0
245 _ _ |a Use of the Culham He model He II atomic data in JET EDGE2D-EIRENE simulations
260 _ _ |a Amsterdam [u.a.]
|c 2021
|b Elsevier
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1641372270_2751
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Present-day large plasma machines use a divertor containing a cold, dense plasma to act as a buffer between the hot core and the plasma-facing material surfaces, providing protection for the latter. The behaviour of the divertor plasma, including the power radiated by fuel and impurity species, is therefore crucial in determining the performance of the next-step machines such as ITER, requiring transport modelling of the plasma edge and divertor. Transport codes that simulate the edge and divertor plasmas rely on the availability of accurate atomic and molecular data both for the fuel and impurity species. It is important to understand the sensitivity of the simulations to these data, since this determines the quality of the atomic and molecular data required. Recent work has led to the generation of the CHEM (Culham He Model) atomic dataset for hydrogenic He II (He+) [1], [2]. The sensitivity of the simulation codes to the atomic data is being tested by comparing their use in EDGE2D-EIRENE simulations with the presently used data from the ADAS database [3]. Helium is widely used in laboratory fusion experiments both as a fuel as in the first, non-nuclear phase of ITER, as a minority gas for RF heating and will occur as ash from the thermonuclear reactions. The atomic physics of He II is in many ways similar to that of D I, so this study will inform work on D fuelled simulations. He rather than D is considered first, since the former presents a more tractable atomic physics problem in that the heavy particle collisions [1] involve ions rather than neutrals. The use of He simulations also avoids the complications that can result from molecular emissions, allowing easier comparisons with experiment. However, it should be noted that the present simulation results are not compared with measurements in this paper.
536 _ _ |a 134 - Plasma-Wand-Wechselwirkung (POF4-134)
|0 G:(DE-HGF)POF4-134
|c POF4-134
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Groth, M.
|0 P:(DE-Juel1)171218
|b 1
|u fzj
700 1 _ |a Harting, D.
|0 P:(DE-Juel1)177840
|b 2
|u fzj
700 1 _ |a Menmuir, S.
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Reiter, D.
|0 P:(DE-Juel1)5006
|b 4
|e Corresponding author
|u fzj
700 1 _ |a Aggarwal, K. M.
|0 P:(DE-HGF)0
|b 5
700 1 _ |a Brezinsek, S.
|0 P:(DE-Juel1)129976
|b 6
|u fzj
700 1 _ |a Coffey, I. H.
|0 P:(DE-HGF)0
|b 7
700 1 _ |a Corrigan, G.
|0 P:(DE-HGF)0
|b 8
700 1 _ |a Keenan, F. P.
|0 P:(DE-HGF)0
|b 9
700 1 _ |a Maggi, C. F.
|0 P:(DE-Juel1)169313
|b 10
700 1 _ |a Meigs, A. G.
|0 P:(DE-HGF)0
|b 11
700 1 _ |a O'Mullane, M. G.
|0 P:(DE-HGF)0
|b 12
700 1 _ |a Simpson, J.
|0 P:(DE-HGF)0
|b 13
700 1 _ |a Wiesen, S.
|0 P:(DE-Juel1)5247
|b 14
|u fzj
773 _ _ |a 10.1016/j.nme.2021.101010
|g Vol. 27, p. 101010 -
|0 PERI:(DE-600)2808888-8
|p 101010 -
|t Nuclear materials and energy
|v 27
|y 2021
|x 2352-1791
856 4 _ |u https://juser.fz-juelich.de/record/904057/files/1-s2.0-S2352179121000879-main.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:904057
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 1
|6 P:(DE-Juel1)171218
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 2
|6 P:(DE-Juel1)177840
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 4
|6 P:(DE-Juel1)5006
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 6
|6 P:(DE-Juel1)129976
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 14
|6 P:(DE-Juel1)5247
913 1 _ |a DE-HGF
|b Forschungsbereich Energie
|l Fusion
|1 G:(DE-HGF)POF4-130
|0 G:(DE-HGF)POF4-134
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-100
|4 G:(DE-HGF)POF
|v Plasma-Wand-Wechselwirkung
|x 0
914 1 _ |y 2021
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2020-09-02
915 _ _ |a Creative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
|0 LIC:(DE-HGF)CCBYNCND4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-09-02
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2020-09-02
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2020-09-02
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2020-09-02
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2020-09-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2020-09-02
920 1 _ |0 I:(DE-Juel1)IEK-4-20101013
|k IEK-4
|l Plasmaphysik
|x 0
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IEK-4-20101013
981 _ _ |a I:(DE-Juel1)IFN-1-20101013


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21