001     911088
005     20240610121343.0
024 7 _ |a 10.1088/2632-2153/ac579b
|2 doi
024 7 _ |a 2128/32560
|2 Handle
024 7 _ |a WOS:000783981800001
|2 WOS
037 _ _ |a FZJ-2022-04414
082 _ _ |a 621.3
100 1 _ |a Kaspschak, Bastian
|0 0000-0003-4224-2932
|b 0
|e Corresponding author
245 _ _ |a Three-body renormalization group limit cycles based on unsupervised feature learning
260 _ _ |a Bristol
|c 2022
|b IOP Publishing
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 1668422092_11751
|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
536 _ _ |a 5111 - Domain-Specific Simulation Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)
|0 G:(DE-HGF)POF4-5111
|c POF4-511
|x 0
|f POF IV
536 _ _ |a DFG project 196253076 - TRR 110: Symmetrien und Strukturbildung in der Quantenchromodynamik (196253076)
|0 G:(GEPRIS)196253076
|c 196253076
|x 1
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Meißner, Ulf-G
|0 P:(DE-Juel1)131252
|b 1
773 _ _ |a 10.1088/2632-2153/ac579b
|g Vol. 3, no. 2, p. 025003 -
|0 PERI:(DE-600)3017004-7
|n 2
|p 025003 -
|t Machine learning: science and technology
|v 3
|y 2022
|x 2632-2153
856 4 _ |u https://juser.fz-juelich.de/record/911088/files/Kaspschak_2022_Mach._Learn.%20_Sci._Technol._3_025003.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:911088
|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)131252
913 1 _ |a DE-HGF
|b Key Technologies
|l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action
|1 G:(DE-HGF)POF4-510
|0 G:(DE-HGF)POF4-511
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Enabling Computational- & Data-Intensive Science and Engineering
|9 G:(DE-HGF)POF4-5111
|x 0
914 1 _ |y 2022
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2020-09-03
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2020-09-03
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b MACH LEARN-SCI TECHN : 2021
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2020-04-14T14:43:49Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2020-04-14T14:43:49Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Blind peer review
|d 2020-04-14T14:43:49Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1160
|2 StatID
|b Current Contents - Engineering, Computing and Technology
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2022-11-10
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2022-11-10
915 _ _ |a IF >= 5
|0 StatID:(DE-HGF)9905
|2 StatID
|b MACH LEARN-SCI TECHN : 2021
|d 2022-11-10
920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)IAS-4-20090406
|k IAS-4
|l Theorie der Starken Wechselwirkung
|x 0
920 1 _ |0 I:(DE-Juel1)IKP-3-20111104
|k IKP-3
|l Theorie der starken Wechselwirkung
|x 1
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)IAS-4-20090406
980 _ _ |a I:(DE-Juel1)IKP-3-20111104
981 _ _ |a I:(DE-Juel1)IAS-4-20090406


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21