% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Lintermann:874510,
      author       = {Lintermann, Andreas and Meinke, Matthias and Schröder,
                      Wolfgang},
      title        = {{Z}onal {F}low {S}olver ({ZFS}): a highly efficient
                      multi-physics simulation framework},
      journal      = {International journal of computational fluid dynamics},
      volume       = {34},
      number       = {7-8},
      issn         = {1026-7417},
      address      = {London [u.a.]},
      publisher    = {Taylor and Francis},
      reportid     = {FZJ-2020-01484},
      pages        = {458-485},
      year         = {2020},
      abstract     = {Multi-physics simulations are at the heart of today's
                      engineering applications. The trend is towards more
                      realistic and detailed simulations, which demand highly
                      resolved spatial and temporal scales of various physical
                      mechanisms to solve engineering problems in a reasonable
                      amount of time. As a consequence, numerical codes need to
                      run efficiently on high-performance computers. Therefore,
                      the framework Zonal Flow Solver (ZFS) featuring
                      lattice-Boltzmann, finite-volume, discontinuous Galerkin,
                      level set and Lagrange solvers has been developed. The
                      solvers can be combined to simulate, e.g.
                      quasi-incompressible and compressible flow, aeroacoustics,
                      moving boundaries and particle dynamics. In this manuscript,
                      the multi-physics implementation of the coupling mechanisms
                      are presented. The parallelisation approach, the involved
                      solvers and their scalability on state-of-the-art
                      heterogeneous high-performance computers are discussed.
                      Various multi-physics applications complement the
                      discussion. The results show ZFS to be a highly efficient
                      and flexible multi-purpose tool that can be used to solve
                      varying classes of coupled problems.},
      cin          = {JSC},
      ddc          = {600},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511)},
      pid          = {G:(DE-HGF)POF3-511},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000524080300001},
      doi          = {10.1080/10618562.2020.1742328},
      url          = {https://juser.fz-juelich.de/record/874510},
}