h1

000999121 001__ 999121
000999121 005__ 20250731101844.0
000999121 0247_ $$2ISSN$$a2666-5468
000999121 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85210756693
000999121 0247_ $$2doi$$a10.1016/j.egyai.2024.100451
000999121 0247_ $$2datacite_doi$$a10.18154/RWTH-2024-11881
000999121 0247_ $$2WOS$$aWOS:001371742100001
000999121 037__ $$aRWTH-2024-11881
000999121 041__ $$aEnglish
000999121 082__ $$a624
000999121 1001_ $$0P:(DE-82)999382$$aZou, Jiayu$$b0$$urwth
000999121 245__ $$aMachine learning for battery quality classification and lifetime prediction using formation data$$honline
000999121 260__ $$aAmsterdam$$bElsevier ScienceDirect$$c2024
000999121 300__ $$a[1]-13
000999121 3367_ $$00$$2EndNote$$aJournal Article
000999121 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
000999121 3367_ $$2BibTeX$$aARTICLE
000999121 3367_ $$2DRIVER$$aarticle
000999121 3367_ $$2DataCite$$aOutput Types/Journal article
000999121 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000999121 536__ $$0G:(DE-82)021000-OAPKF$$aOAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF)$$c021000-OAPKF$$x0
000999121 536__ $$0G:(BMBF)03XP0585$$aBMBF 03XP0585 - SPEED - Schnelle Charakterisierung der Leistungsfähigkeit von Lithium-Ionen-Batterien aus der Produktionslinie mit maschinellem Lernen (03XP0585)$$c03XP0585$$x1
000999121 536__ $$0G:(BMBF)03XP0334$$aBMBF 03XP0334 - Model2Life- Modellbasierte Systemauslegung für 2nd-Life-Nutzungsszenarien von mobilen Batteriesystemen (03XP0334)$$c03XP0334$$x2
000999121 588__ $$aDataset connected to CrossRef, Journals: publications.rwth-aachen.de
000999121 591__ $$aGermany
000999121 7001_ $$0P:(DE-82)755937$$aGao, Yingbo$$b1$$urwth
000999121 7001_ $$0P:(DE-82)IDM04895$$aFrieges, Moritz Holger$$b2$$urwth
000999121 7001_ $$0P:(DE-82)IDM05451$$aBörner, Martin Florian$$b3$$urwth
000999121 7001_ $$0P:(DE-82)IDM00554$$aKampker, Achim$$b4$$urwth
000999121 7001_ $$0P:(DE-82)IDM03607$$aLi, Weihan$$b5$$eCorresponding author$$urwth
000999121 773__ $$0PERI:(DE-600)3017958-0$$a10.1016/j.egyai.2024.100451$$p100451$$tEnergy and AI$$v18$$x2666-5468$$y2024
000999121 8564_ $$uhttps://publications.rwth-aachen.de/record/999121/files/999121.pdf$$yOpenAccess
000999121 8767_ $$8E-2024-01512-b$$92025-02-19$$c100.00$$d2024-12-12$$eOther$$jDEAL$$lElsevier$$v19.00$$x021000-618310$$zServicepauschale
000999121 8767_ $$8E-2024-01512-b$$92025-02-19$$c2336.00$$d2024-12-12$$eAPC$$jDEAL$$lElsevier$$v163.52$$x021000-618310
000999121 909CO $$ooai:publications.rwth-aachen.de:999121$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$popenaire$$popen_access$$pOpenAPC
000999121 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)999382$$aRWTH Aachen$$b0$$kRWTH
000999121 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)755937$$aRWTH Aachen$$b1$$kRWTH
000999121 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM04895$$aRWTH Aachen$$b2$$kRWTH
000999121 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM05451$$aRWTH Aachen$$b3$$kRWTH
000999121 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM00554$$aRWTH Aachen$$b4$$kRWTH
000999121 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM03607$$aRWTH Aachen$$b5$$kRWTH
000999121 9141_ $$y2024
000999121 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
000999121 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2023-08-23
000999121 915__ $$0LIC:(DE-HGF)CCBYNC4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial CC BY-NC 4.0
000999121 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2023-05-02T08:55:10Z
000999121 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2023-05-02T08:55:10Z
000999121 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000999121 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2023-05-02T08:55:10Z
000999121 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2023-08-23
000999121 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2023-08-23
000999121 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
000999121 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
000999121 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
000999121 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal
000999121 9201_ $$0I:(DE-82)618310_20140620$$k618310$$lLehrstuhl für Elektrochemische Energiewandlung und Speichersystemtechnik$$x0
000999121 9201_ $$0I:(DE-82)080011_20140620$$k080011$$lJARA-ENERGY$$x1
000999121 9201_ $$0I:(DE-82)420910_20140620$$k420910$$lLehrstuhl für Production Engineering of E-Mobility Components$$x2
000999121 9201_ $$0I:(DE-82)080070_20210623$$k080070$$lCenter for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems$$x3
000999121 9201_ $$0I:(DE-82)122010_20140620$$k122010$$lLehrstuhl für Maschinelles Lernen und Inferenz (Informatik 6)$$x4
000999121 9201_ $$0I:(DE-82)120000_20140620$$k120000$$lFachgruppe Informatik$$x5
000999121 961__ $$c2024-12-12T14:07:30.573916$$x2024-12-12T14:07:30.573916$$z2024-12-12T14:07:30.573916
000999121 9801_ $$aFullTexts
000999121 980__ $$aAPC
000999121 980__ $$aI:(DE-82)080011_20140620
000999121 980__ $$aI:(DE-82)080070_20210623
000999121 980__ $$aI:(DE-82)120000_20140620
000999121 980__ $$aI:(DE-82)122010_20140620
000999121 980__ $$aI:(DE-82)420910_20140620
000999121 980__ $$aI:(DE-82)618310_20140620
000999121 980__ $$aUNRESTRICTED
000999121 980__ $$aVDB
000999121 980__ $$ajournal