001003244 001__ 1003244 001003244 005__ 20250407085519.0 001003244 0247_ $$2ISSN$$a2213-7467 001003244 0247_ $$2WOS$$aWOS:001406638800001 001003244 0247_ $$2doi$$a10.1186/s40323-025-00283-9 001003244 0247_ $$2datacite_doi$$a10.18154/RWTH-2025-00937 001003244 0247_ $$2SCOPUS$$aSCOPUS:2-s2.0-85218198457 001003244 037__ $$aRWTH-2025-00937 001003244 041__ $$aEnglish 001003244 082__ $$a620 001003244 1001_ $$0P:(DE-82)IDM05168$$aBrumand-Poor, Faras$$b0$$eCorresponding author$$urwth 001003244 245__ $$aExtrapolation of cavitation and hydrodynamic pressure in lubricated contacts: a physics-informed neural network approach$$honline 001003244 260__ $$aBerlin ; Heidelberg [u.a.]$$bSpringerOpen$$c2025 001003244 300__ $$a[1]-34 001003244 3367_ $$00$$2EndNote$$aJournal Article 001003244 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal 001003244 3367_ $$2BibTeX$$aARTICLE 001003244 3367_ $$2DRIVER$$aarticle 001003244 3367_ $$2DataCite$$aOutput Types/Journal article 001003244 3367_ $$2ORCID$$aJOURNAL_ARTICLE 001003244 536__ $$0G:(DE-82)021000-OAPKF$$aOAPKF - Open-Access-Publikation mit Unterstützung der RWTH Aachen University (021000-OAPKF)$$c021000-OAPKF$$x0 001003244 588__ $$aDataset connected to DataCite 001003244 591__ $$aGermany 001003244 653_7 $$aHydrodynamic pressure extrapolation 001003244 653_7 $$aPhysics-informed machine learning 001003244 653_7 $$aPhysics-informed neural networks 001003244 653_7 $$aPneumatic sealing 001003244 653_7 $$aSpatial and temporal extrapolation 001003244 653_7 $$acavitation extrapolation 001003244 653_7 $$aelastohydrodynamic lubrication simulation 001003244 653_7 $$atribology 001003244 7001_ $$0P:(DE-82)1005445$$aAzanledji, Freddy Kokou$$b1$$urwth 001003244 7001_ $$0P:(DE-82)IDM06525$$aPlückhahn, Nils Thorben$$b2$$urwth 001003244 7001_ $$0P:(DE-82)998777$$aBarlog, Florian$$b3$$urwth 001003244 7001_ $$0P:(DE-82)IDM06369$$aBoden, Lukas Moritz Franz Ernst$$b4$$urwth 001003244 7001_ $$0P:(DE-82)IDM02480$$aSchmitz, Katharina$$b5$$urwth 001003244 773__ $$0PERI:(DE-600)2767724-2$$a10.1186/s40323-025-00283-9$$p2$$tAdvanced modeling and simulation in engineering sciences$$v12$$x2213-7467$$y2025 001003244 8564_ $$uhttps://publications.rwth-aachen.de/record/1003244/files/1003244.pdf$$yOpenAccess 001003244 8767_ $$c100$$d2025-02-21$$eOther$$jDEAL$$v7.00$$x021000-412810$$zServicepauschale 001003244 8767_ $$c950.13$$d2025-02-21$$eAPC$$jDEAL$$v66.51$$x021000-412810 001003244 909CO $$ooai:publications.rwth-aachen.de:1003244$$pOpenAPC$$popen_access$$popenaire$$pdriver$$pVDB$$popenCost$$pdnbdelivery 001003244 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM05168$$aRWTH Aachen$$b0$$kRWTH 001003244 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)1005445$$aRWTH Aachen$$b1$$kRWTH 001003244 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM06525$$aRWTH Aachen$$b2$$kRWTH 001003244 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)998777$$aRWTH Aachen$$b3$$kRWTH 001003244 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM06369$$aRWTH Aachen$$b4$$kRWTH 001003244 9101_ $$0I:(DE-588b)36225-6$$6P:(DE-82)IDM02480$$aRWTH Aachen$$b5$$kRWTH 001003244 9141_ $$y2025 001003244 9151_ $$0StatID:(DE-HGF)0031$$2StatID$$aPeer reviewed article$$x0 001003244 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS$$d2025-01-02 001003244 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0 001003244 915__ $$0StatID:(DE-HGF)0501$$2StatID$$aDBCoverage$$bDOAJ Seal$$d2024-04-10T15:32:51Z 001003244 915__ $$0StatID:(DE-HGF)0112$$2StatID$$aWoS$$bEmerging Sources Citation Index$$d2025-01-02 001003244 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection$$d2025-01-02 001003244 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ$$d2024-04-10T15:32:51Z 001003244 915__ $$0StatID:(DE-HGF)0700$$2StatID$$aFees$$d2025-01-02 001003244 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 001003244 915__ $$0StatID:(DE-HGF)0030$$2StatID$$aPeer Review$$bDOAJ : Anonymous peer review$$d2024-04-10T15:32:51Z 001003244 915__ $$0StatID:(DE-HGF)0561$$2StatID$$aArticle Processing Charges$$d2025-01-02 001003244 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline$$d2025-01-02 001003244 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List$$d2025-01-02 001003244 915pc $$0PC:(DE-HGF)0000$$2APC$$aAPC keys set 001003244 915pc $$0PC:(DE-HGF)0001$$2APC$$aLocal Funding 001003244 915pc $$0PC:(DE-HGF)0002$$2APC$$aDFG OA Publikationskosten 001003244 915pc $$0PC:(DE-HGF)0003$$2APC$$aDOAJ Journal 001003244 915pc $$0PC:(DE-HGF)0113$$2APC$$aDEAL: Springer Nature 2020 001003244 9201_ $$0I:(DE-82)412810_20180620$$k412810$$lLehrstuhl und Institut für fluidtechnische Antriebe und Systeme$$x0 001003244 961__ $$c2025-01-28T11:49:36.565379$$x2025-01-28T11:49:36.565379$$z2025-01-28 001003244 9801_ $$aFullTexts 001003244 980__ $$aAPC 001003244 980__ $$aI:(DE-82)412810_20180620 001003244 980__ $$aUNRESTRICTED 001003244 980__ $$aVDB 001003244 980__ $$ajournal