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@INPROCEEDINGS{Novell:1042261,
      author       = {Novell, Alice and Muñoz, Fernando and Ntiniakou, Thaleia
                      and Montagud, Arnau and Houzeaux, Guillaume and Eguzkitza,
                      Ane Beatriz},
      title        = {{L}ung {D}igital {T}win {COVID}-19 {I}nfection: {A}
                      {M}ultiphysics - {M}ultiscale {HPC}-{M}odeling {B}ased on
                      {CFPD} and {A}gent-{B}ased {M}odel {C}oupled {S}imulations},
      volume       = {69},
      address      = {Jülich},
      publisher    = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
      reportid     = {FZJ-2025-02477},
      series       = {Schriften des Forschungszentrums Jülich IAS Series},
      pages        = {147 - 153},
      year         = {2025},
      comment      = {Proceedings of the 35th Parallel CFD International
                      Conference 2024},
      booktitle     = {Proceedings of the 35th Parallel CFD
                       International Conference 2024},
      abstract     = {The present work is one of the three pieces (upper airways,
                      lower conductive airways and respiratory zone) of a digital
                      twin lung model developed by the Physical and Numerical
                      Modelling research group from the CASE department in
                      Barcelona Supercomputing Center (BSC). In particular, the
                      study presents the solution of fluid flow and SARS-COV-2
                      particle transport in the lower conductive zone of the
                      lungs, using a geometry based on patient specific images.
                      The specific context of the current work is framed within
                      the European Project: CREXDATA: Critical Action Planning
                      over Extreme-Scale Data. Its general vision is to develop a
                      generic platform for real-time critical situation
                      management, including flexible action planning and agile
                      decision-making over streaming data of extreme scale and
                      complexity. One of the use cases of the project is the
                      COVID-19 pandemic crisis, studying viral evolution in
                      patients. To that end, the first step is to develop a
                      mechanistic multiscale model to build a toolbox aimed at
                      having a digital twin for the treatment of patients.},
      month         = {Sep},
      date          = {2024-09-02},
      organization  = {35th Parallel CFD International
                       Conference 2024, Bonn (Germany), 2 Sep
                       2024 - 4 Sep 2024},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.34734/FZJ-2025-02477},
      url          = {https://juser.fz-juelich.de/record/1042261},
}