000917410 001__ 917410
000917410 005__ 20230123101928.0
000917410 0247_ $$2Handle$$a2128/33600
000917410 037__ $$aFZJ-2023-00624
000917410 041__ $$aEnglish
000917410 1001_ $$0P:(DE-Juel1)192255$$aBode, Mathis$$b0$$eCorresponding author$$ufzj
000917410 1112_ $$aSAE WCX World Congress Experience$$cDetroit$$d2022-04-05 - 2022-04-07$$wUSA
000917410 245__ $$aApplying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Large-Eddy Simulations of ECN Spray C
000917410 260__ $$c2022
000917410 300__ $$a1-9
000917410 3367_ $$2ORCID$$aCONFERENCE_PAPER
000917410 3367_ $$033$$2EndNote$$aConference Paper
000917410 3367_ $$2BibTeX$$aINPROCEEDINGS
000917410 3367_ $$2DRIVER$$aconferenceObject
000917410 3367_ $$2DataCite$$aOutput Types/Conference Paper
000917410 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1673846566_7467
000917410 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
000917410 4900_ $$aSAE Technical Paper
000917410 536__ $$0G:(DE-HGF)POF4-5112$$a5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
000917410 536__ $$0G:(DE-Juel1)jhpc55_20190501$$aUsing deep learning to predict statistics of turbulent flows at high Reynolds numbers (jhpc55_20190501)$$cjhpc55_20190501$$fUsing deep learning to predict statistics of turbulent flows at high Reynolds numbers$$x1
000917410 770__ $$z2022-01-0503
000917410 773__ $$y2022
000917410 8564_ $$uhttps://juser.fz-juelich.de/record/917410/files/dlc_06.pdf$$yOpenAccess
000917410 909CO $$ooai:juser.fz-juelich.de:917410$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire
000917410 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)192255$$aForschungszentrum Jülich$$b0$$kFZJ
000917410 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5112$$aDE-HGF$$bKey Technologies$$lEngineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action$$vEnabling Computational- & Data-Intensive Science and Engineering$$x0
000917410 9141_ $$y2022
000917410 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000917410 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
000917410 980__ $$acontrib
000917410 980__ $$aVDB
000917410 980__ $$aUNRESTRICTED
000917410 980__ $$acontb
000917410 980__ $$aI:(DE-Juel1)JSC-20090406
000917410 9801_ $$aFullTexts