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@MISC{Jiao:1023733,
      author       = {Jiao, Yu},
      title        = {{F}low {O}ver a {C}ylinder: {S}imulation {D}atasets {U}sing
                      {JAX}-{F}luids ({R}e = 10–800)},
      publisher    = {Technical University of Munich},
      reportid     = {RWTH-2025-10704},
      year         = {2025},
      abstract     = {This dataset contains computational fluid dynamics (CFD)
                      simulations of flow past a cylinder across Reynolds numbers
                      (Re) ranging from 10 to 800, generated using the JAX-Fluids
                      2.0 solver (https://github.com/tumaer/JAXFLUIDS) developed
                      by TUM Chair of Aerodynamics and Fluid Mechanics (Deniz A
                      Bezgin, Aaron B Buhendwa, Nikolaus A Adams). The dataset
                      serves as a demonstration of scientific data management
                      practices, with simulation results accompanied by
                      comprehensive metadata documenting the computational setup
                      and parameters. The included metadata showcases effective
                      data management approaches for CFD studies while maintaining
                      focus on the solver's capabilities. LRZ AI Systems provides
                      GPU resources, while NFDI4ING provides funding for research
                      data management.},
      keywords     = {GPU (Other) / AI (Other) / CFD (Other) / RDM (Other) /
                      Research Data Management (Other) / Metadata (Other) / FAIR
                      Digital Object (Other)},
      pnm          = {NFDI4Ing Task Area DORIS - Task Area DORIS - high
                      performance measurement and computation (442146713-DORIS) /
                      DFG project G:(GEPRIS)442146713 - NFDI4ING – Nationale
                      Forschungsdateninfrastruktur für die
                      Ingenieurwissenschaften (442146713)},
      pid          = {G:(GEPRIS)442146713-DORIS / G:(GEPRIS)442146713},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.14459/2025MP1788420},
      url          = {https://publications.rwth-aachen.de/record/1023733},
}