001     1042271
005     20250610131453.0
024 7 _ |a 10.1063/5.0262843
|2 doi
024 7 _ |a 0021-8979
|2 ISSN
024 7 _ |a 0148-6349
|2 ISSN
024 7 _ |a 1089-7550
|2 ISSN
024 7 _ |a 2163-5102
|2 ISSN
024 7 _ |a 10.34734/FZJ-2025-02487
|2 datacite_doi
024 7 _ |a WOS:001482986000015
|2 WOS
037 _ _ |a FZJ-2025-02487
082 _ _ |a 530
100 1 _ |a Kopperberg, N.
|0 0000-0001-5422-7372
|b 0
245 _ _ |a 3D kinetic Monte Carlo-based investigation of the influence of dopants on the reliability of VCM ReRAM
260 _ _ |a Melville, NY
|c 2025
|b American Inst. of Physics
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 1746785460_26033
|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 5233 - Memristive Materials and Devices (POF4-523)
|0 G:(DE-HGF)POF4-5233
|c POF4-523
|f POF IV
|x 0
536 _ _ |a BMBF 16ME0399 - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0399)
|0 G:(DE-82)BMBF-16ME0399
|c BMBF-16ME0399
|x 1
536 _ _ |a BMBF 16ME0398K - Verbundprojekt: Neuro-inspirierte Technologien der künstlichen Intelligenz für die Elektronik der Zukunft - NEUROTEC II - (BMBF-16ME0398K)
|0 G:(DE-82)BMBF-16ME0398K
|c BMBF-16ME0398K
|x 2
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Genua Noguera, D.
|0 P:(DE-HGF)0
|b 1
700 1 _ |a Menzel, S.
|0 P:(DE-Juel1)158062
|b 2
773 _ _ |a 10.1063/5.0262843
|g Vol. 137, no. 17, p. 175105
|0 PERI:(DE-600)1476463-5
|n 17
|p 175105
|t Journal of applied physics
|v 137
|y 2025
|x 0021-8979
856 4 _ |u https://juser.fz-juelich.de/record/1042271/files/175105_1_5.0262843.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1042271
|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 2
|6 P:(DE-Juel1)158062
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-523
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Neuromorphic Computing and Network Dynamics
|9 G:(DE-HGF)POF4-5233
|x 0
914 1 _ |y 2025
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1230
|2 StatID
|b Current Contents - Electronics and Telecommunications Collection
|d 2024-12-18
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0600
|2 StatID
|b Ebsco Academic Search
|d 2024-12-18
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b J APPL PHYS : 2022
|d 2024-12-18
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-18
915 _ _ |a IF < 5
|0 StatID:(DE-HGF)9900
|2 StatID
|d 2024-12-18
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b ASC
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2024-12-18
915 _ _ |a National-Konsortium
|0 StatID:(DE-HGF)0430
|2 StatID
|d 2024-12-18
|w ger
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-18
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-18
920 1 _ |0 I:(DE-Juel1)PGI-7-20110106
|k PGI-7
|l Elektronische Materialien
|x 0
920 1 _ |0 I:(DE-82)080009_20140620
|k JARA-FIT
|l JARA-FIT
|x 1
980 1 _ |a FullTexts
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)PGI-7-20110106
980 _ _ |a I:(DE-82)080009_20140620


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21