001041823 001__ 1041823
001041823 005__ 20250515110735.0
001041823 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-02455
001041823 037__ $$aFZJ-2025-02455
001041823 041__ $$aEnglish
001041823 1001_ $$0P:(DE-HGF)0$$aLagemann, Christian$$b0$$eCorresponding author
001041823 1112_ $$a35th Parallel CFD International Conference 2024$$cBonn$$d2024-09-02 - 2024-09-04$$gParCFD 2024$$wGermany
001041823 245__ $$aHydro Gym-GPU: From 2D to 3D Benchmark Environments for Reinforcement Learning in Fluid Flows
001041823 260__ $$aJülich$$bForschungszentrum Jülich GmbH Zentralbibliothek, Verlag$$c2025
001041823 29510 $$aProceedings of the 35th Parallel CFD International Conference 2024
001041823 300__ $$a57-63
001041823 3367_ $$2ORCID$$aCONFERENCE_PAPER
001041823 3367_ $$033$$2EndNote$$aConference Paper
001041823 3367_ $$2BibTeX$$aINPROCEEDINGS
001041823 3367_ $$2DRIVER$$aconferenceObject
001041823 3367_ $$2DataCite$$aOutput Types/Conference Paper
001041823 3367_ $$0PUB:(DE-HGF)8$$2PUB:(DE-HGF)$$aContribution to a conference proceedings$$bcontrib$$mcontrib$$s1747026079_12849
001041823 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$mcontb
001041823 4900_ $$aSchriften des Forschungszentrums Jülich IAS Series$$v69
001041823 520__ $$aFluid flow modeling and control is a significant modern challenge with potential impacts across science, technology, and industry. Improved flow control could enhance drag reduction, mixing, and noise reduction in areas like transportation, energy, and medicine. However, progress in flow control is currently hindered by the lack of systematically standardized benchmarks and the high computational cost of fluid simulations. While two-dimensional problems have been extensivelystudied, three-dimensional simulations with larger meshes are rarely considered due to the need forhighly parallelized and specialized solvers. As a result, the engineering burden of encapsulating thesesimulations in benchmark environments has proven to be a significant barrier. In this paper, a GPU-based extension of the HydroGym platform coupling the multiphysics solver framework m-AIA witha state-of-the-art reinforcement learning platform is presented for fluid flow control problems. Basedon the highly-parallelized lattice Boltzmann solver, which is part of m-AIA, a new set of three-dimensional, non-differentiable fluid flow environments is added that extend existing flow controlchallenges to a new level of physical and computational complexity.
001041823 536__ $$0G:(DE-HGF)POF4-5111$$a5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511)$$cPOF4-511$$fPOF IV$$x0
001041823 536__ $$0G:(EU-Grant)101136269$$aHANAMI - Hpc AlliaNce for Applications and supercoMputing Innovation: the Europe - Japan collaboration (101136269)$$c101136269$$x1
001041823 588__ $$aDataset connected to DataCite
001041823 7001_ $$0P:(DE-Juel1)177985$$aRüttgers, Mario$$b1$$ufzj
001041823 7001_ $$0P:(DE-HGF)0$$aGondrum, Miro$$b2
001041823 7001_ $$0P:(DE-HGF)0$$aMeinke, Matthias$$b3
001041823 7001_ $$0P:(DE-HGF)0$$aSchröder, Wolfgang$$b4
001041823 7001_ $$0P:(DE-Juel1)165948$$aLintermann, Andreas$$b5$$ufzj
001041823 7001_ $$0P:(DE-HGF)0$$aBrunton, Steven L.$$b6
001041823 770__ $$z978-3-95806-819-3
001041823 773__ $$a10.34734/FZJ-2025-02455
001041823 8564_ $$uhttps://juser.fz-juelich.de/record/1041823/files/133.pdf$$yOpenAccess
001041823 909CO $$ooai:juser.fz-juelich.de:1041823$$pdnbdelivery$$pec_fundedresources$$pVDB$$pdriver$$popen_access$$popenaire
001041823 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
001041823 9141_ $$y2025
001041823 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)177985$$aForschungszentrum Jülich$$b1$$kFZJ
001041823 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165948$$aForschungszentrum Jülich$$b5$$kFZJ
001041823 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$$x0
001041823 920__ $$lyes
001041823 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
001041823 980__ $$acontrib
001041823 980__ $$aVDB
001041823 980__ $$aUNRESTRICTED
001041823 980__ $$acontb
001041823 980__ $$aI:(DE-Juel1)JSC-20090406
001041823 9801_ $$aFullTexts