001019030 001__ 1019030
001019030 005__ 20231207201909.0
001019030 037__ $$aFZJ-2023-05093
001019030 1001_ $$0P:(DE-Juel1)188816$$aKim, Jangho$$b0$$eCorresponding author
001019030 1112_ $$aArbeitstreffen Kernphysik 2023$$cSchleching$$d2023-02-23 - 2023-03-02$$wGermany
001019030 245__ $$aScalar content of nucleon with the gradient flow using machine learning
001019030 260__ $$c2023
001019030 3367_ $$033$$2EndNote$$aConference Paper
001019030 3367_ $$2DataCite$$aOther
001019030 3367_ $$2BibTeX$$aINPROCEEDINGS
001019030 3367_ $$2DRIVER$$aconferenceObject
001019030 3367_ $$2ORCID$$aLECTURE_SPEECH
001019030 3367_ $$0PUB:(DE-HGF)6$$2PUB:(DE-HGF)$$aConference Presentation$$bconf$$mconf$$s1701933849_19767$$xOther
001019030 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001019030 536__ $$0G:(GEPRIS)443914323$$aDFG project 443914323 - Symmetrie-verletzende hadronische Wechselwirkungen in der Gitter-QCD (A10*) (443914323)$$c443914323$$x1
001019030 7001_ $$0P:(DE-Juel1)195916$$aPederiva, Giovanni$$b1
001019030 7001_ $$0P:(DE-Juel1)161205$$aShindler, Andrea$$b2
001019030 8564_ $$uhttps://indico.cern.ch/event/1112668/
001019030 909CO $$ooai:juser.fz-juelich.de:1019030$$pVDB
001019030 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)188816$$aForschungszentrum Jülich$$b0$$kFZJ
001019030 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)195916$$aForschungszentrum Jülich$$b1$$kFZJ
001019030 9131_ $$0G:(DE-HGF)POF4-511$$1G:(DE-HGF)POF4-510$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5111$$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
001019030 9141_ $$y2023
001019030 920__ $$lyes
001019030 9201_ $$0I:(DE-Juel1)IAS-4-20090406$$kIAS-4$$lTheorie der Starken Wechselwirkung$$x0
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001019030 980__ $$aVDB
001019030 980__ $$aI:(DE-Juel1)IAS-4-20090406
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