h1

001005561 001__ 1005561
001005561 005__ 20250407085437.0
001005561 0247_ $$2ISSN$$a2095-4956
001005561 0247_ $$2ISSN$$a2096-885X
001005561 0247_ $$2doi$$a10.1016/j.jechem.2024.12.068
001005561 0247_ $$2datacite_doi$$a10.18154/RWTH-2025-01846
001005561 0247_ $$2WOS$$aWOS:001438792200001
001005561 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85219117735
001005561 037__ $$aRWTH-2025-01846
001005561 041__ $$aEnglish
001005561 082__ $$a540
001005561 1001_ $$0P:(DE-82)963836$$aCai, Xue$$b0$$urwth
001005561 245__ $$aSensorless battery expansion estimation using electromechanical coupled models and machine learning$$honline, print
001005561 260__ $$aAmsterdam [u.a.]$$bElsevier$$c2025
001005561 3367_ $$00$$2EndNote$$aJournal Article
001005561 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal
001005561 3367_ $$2BibTeX$$aARTICLE
001005561 3367_ $$2DRIVER$$aarticle
001005561 3367_ $$2DataCite$$aOutput Types/Journal article
001005561 3367_ $$2ORCID$$aJOURNAL_ARTICLE
001005561 536__ $$0G:(DE-82)021000-OAPKF$$aOAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF)$$c021000-OAPKF$$x0
001005561 536__ $$0G:(BMBF)03XP0585$$aBMBF 03XP0585 - SPEED - Schnelle Charakterisierung der Leistungsfähigkeit von Lithium-Ionen-Batterien aus der Produktionslinie mit maschinellem Lernen (03XP0585)$$c03XP0585$$x1
001005561 588__ $$aDataset connected to CrossRef, Journals: publications.rwth-aachen.de
001005561 591__ $$aGermany
001005561 591__ $$aPeoples R China
001005561 7001_ $$aZhang, Caiping$$b1$$eCorresponding author
001005561 7001_ $$0P:(DE-82)IDM05047$$aChen, Jue$$b2$$urwth
001005561 7001_ $$aChen, Zeping$$b3
001005561 7001_ $$aZhang, Linjing$$b4
001005561 7001_ $$0P:(DE-82)IDM01459$$aSauer, Dirk Uwe$$b5$$urwth
001005561 7001_ $$0P:(DE-82)IDM03607$$aLi, Weihan$$b6$$eCorresponding author$$urwth
001005561 773__ $$0PERI:(DE-600)2714311-9$$a10.1016/j.jechem.2024.12.068$$p142-157$$tJournal of Energy Chemistry$$v105$$x2096-885X$$y2025
001005561 8564_ $$uhttps://publications.rwth-aachen.de/record/1005561/files/1006130.pdf$$yOpenAccess
001005561 8767_ $$c100$$d2025-02-27$$eOther$$jDEAL$$v7.00$$x021000-618310$$zServicepauschale
001005561 8767_ $$c2500$$d2025-02-27$$eHybrid-OA$$jDEAL$$v175.00$$x021000-618310
001005561 909CO $$ooai:publications.rwth-aachen.de:1005561$$pdnbdelivery$$popenCost$$pVDB$$pdriver$$pOpenAPC_DEAL$$popen_access$$popenaire
001005561 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)963836$$aRWTH Aachen$$b0$$kRWTH
001005561 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM05047$$aRWTH Aachen$$b2$$kRWTH
001005561 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM01459$$aRWTH Aachen$$b5$$kRWTH
001005561 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM03607$$aRWTH Aachen$$b6$$kRWTH
001005561 9141_ $$y2025
001005561 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0
001005561 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2024-12-27
001005561 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2024-12-27
001005561 915__ $$0LIC:(DE-HGF)CCBYNCND4$$2HGFVOC$$aCreative Commons Attribution-NonCommercial-NoDerivs CC BY-NC-ND 4.0
001005561 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bJ ENERGY CHEM : 2022$$d2024-12-27
001005561 915__ $$0StatID:(DE-HGF)9910$$2StatID$$aIF >= 10$$bJ ENERGY CHEM : 2022$$d2024-12-27
001005561 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2024-12-27
001005561 915__ $$0StatID:(DE-HGF)0113$$2StatID$$aWoS$$bScience Citation Index Expanded$$d2024-12-27
001005561 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001005561 915__ $$0StatID:(DE-HGF)0160$$2StatID$$aDBCoverage$$bEssential Science Indicators$$d2024-12-27
001005561 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2024-12-27
001005561 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set
001005561 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding
001005561 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten
001005561 915pc $$0PC:(DE-HGF)0125$$2APC$$aDEAL: Elsevier 09/01/2023
001005561 9201_ $$0I:(DE-82)618310_20140620$$k618310$$lLehrstuhl für Elektrochemische Energiewandlung und Speichersystemtechnik$$x0
001005561 9201_ $$0I:(DE-82)619830_20240726$$k619830$$lJuniorprofessor für Artificial Intelligence and Digitalization for Batteries$$x1
001005561 9201_ $$0I:(DE-82)080070_20210623$$k080070$$lCenter for Ageing, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems$$x2
001005561 9201_ $$0I:(DE-82)080011_20140620$$k080011$$lJARA-ENERGY$$x3
001005561 961__ $$c2025-02-27T14:21:03.928056$$x2025-02-27T14:21:03.928056$$z2025-02-27T14:21:03.928056
001005561 9801_ $$aFullTexts
001005561 980__ $$aAPC
001005561 980__ $$aI:(DE-82)080011_20140620
001005561 980__ $$aI:(DE-82)080070_20210623
001005561 980__ $$aI:(DE-82)618310_20140620
001005561 980__ $$aI:(DE-82)619830_20240726
001005561 980__ $$aUNRESTRICTED
001005561 980__ $$aVDB
001005561 980__ $$ajournal