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@ARTICLE{McCullough:888841,
      author       = {McCullough, J. W. S. and Richardson, R. A. and Patronis, A.
                      and Halver, R. and Marshall, R. and Ruefenacht, M. and
                      Wylie, B. J. N. and Odaker, T. and Wiedemann, M. and Lloyd,
                      B. and Neufeld, E. and Sutmann, Godehard and Skjellum, A.
                      and Kranzlmüller, D. and Coveney, P. V.},
      title        = {{T}owards blood flow in the virtual human: efficient
                      self-coupling of {H}eme{LB}},
      journal      = {Interface focus},
      volume       = {11},
      number       = {1},
      issn         = {2042-8901},
      address      = {London},
      publisher    = {Royal Society Publishing},
      reportid     = {FZJ-2020-05255},
      pages        = {20190119 -},
      year         = {2021},
      abstract     = {Many scientific and medical researchers areworking towards
                      the creation of avirtual human—a personalized digital copy
                      of an individual—that will assistin a patient’s
                      diagnosis, treatment and recovery. The complex nature of
                      livingsystems means that the development of this remains a
                      major challenge. Wedescribe progress in enabling the HemeLB
                      lattice Boltzmann code to simulate3D macroscopic blood
                      flowon a full human scale. Significant developments inmemory
                      management and load balancing allow near linear scaling
                      performanceof the code on hundreds of thousands of computer
                      cores. Integral tothe construction of a virtual human, we
                      also outline the implementation of aself-coupling strategy
                      for HemeLB. This allows simultaneous simulation ofarterial
                      and venous vascular trees based on human-specific
                      geometries.},
      cin          = {JSC},
      ddc          = {570},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / 5112 - Cross-Domain
                      Algorithms, Tools, Methods Labs (ATMLs) and Research Groups
                      (POF4-511) / E-CAM - An e-infrastructure for software,
                      training and consultancy in simulation and modelling
                      (676531) / POP - Performance Optimisation and Productivity
                      (676553) / POP2 - Performance Optimisation and Productivity
                      2 (824080) / CompBioMed - A Centre of Excellence in
                      Computational Biomedicine (675451) / CompBioMed2 - A Centre
                      of Excellence in Computational Biomedicine (823712) / ATMLPP
                      - ATML Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-5112 /
                      G:(EU-Grant)676531 / G:(EU-Grant)676553 / G:(EU-Grant)824080
                      / G:(EU-Grant)675451 / G:(EU-Grant)823712 /
                      G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {33335704},
      UT           = {WOS:000600128700002},
      doi          = {10.1098/rsfs.2019.0119},
      url          = {https://juser.fz-juelich.de/record/888841},
}