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@INPROCEEDINGS{Kaddar:1042285,
      author       = {Kaddar, Driss and Nicolai, Hendrik and Schuh, Vinzenz and
                      Bähr, Antonia and Frouzakis, Christos Emmanouil and Bode,
                      Mathis and Hasse, Christian},
      title        = {{U}nraveling {T}urbulent {NH}3/{H}2 {F}lames {U}sing {H}igh
                      {P}erformance {GPU} {C}omputing: {A} {S}eries of {S}pectral
                      {E}lement {M}ethod-{B}ased {H}igh-{F}idelity {DNS}},
      volume       = {69},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2025-02501},
      series       = {Schriften des Forschungszentrums Jülich IAS Series},
      pages        = {245 - 248},
      year         = {2025},
      comment      = {Proceedings of the 35th Parallel CFD International
                      Conference 2024},
      booktitle     = {Proceedings of the 35th Parallel CFD
                       International Conference 2024},
      abstract     = {Ammonia-hydrogen blends are crucial for future carbon-free
                      combustion systems, with staged-combustion technologies like
                      rich-quench-lean being proposed to minimize emissions.
                      However, the combustion behavior of turbulent rich
                      ammonia-hydrogen mixtures is not well understood,
                      particularly regarding phenomena like partial cracking,
                      hydrogen slip, and post-flame stratification. Recent HPC
                      advancements, particularly in GPU-based systems, enable
                      combustion DNS beyond academic configurations. Utilizing
                      nekCRF, a new GPU-based spectral element solver based on
                      nekRS, we perform finite-rate chemistry DNS of a rich,
                      turbulent premixed jet flame. The analysis focuses on NH3
                      /H2 interaction, revealing residual H2, minimized NH3 slip,
                      and enhanced heat release through turbulent mixing. By
                      leveraging GPU acceleration and employing a novel spectral
                      element solver, this research not only advances our
                      understanding of ammonia combustion but also showcases a
                      paradigm shift in computational efficiency, offering a
                      promising avenue for developing sustainable energy
                      solutions.},
      month         = {Sep},
      date          = {2024-09-02},
      organization  = {35th Parallel CFD International
                       Conference 2024, Bonn (Germany), 2 Sep
                       2024 - 4 Sep 2024},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / Inno4Scale -
                      Innovative Algorithms for Applications on European Exascale
                      Supercomputers (101118139)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)101118139},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.34734/FZJ-2025-02501},
      url          = {https://juser.fz-juelich.de/record/1042285},
}