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@ARTICLE{ColliardGranero:1047013,
      author       = {Colliard-Granero, André and Duan, Kangjun and Zeis,
                      Roswitha and Eikerling, Michael H. and Malek, Kourosh and
                      Eslamibidgoli, Mohammad Javad},
      title        = {{A}dvancing vanadium redox flow battery analysis: a deep
                      learning approach for high-throughput 3{D} visualization and
                      bubble quantification},
      journal      = {Digital discovery},
      volume       = {10},
      issn         = {2635-098X},
      address      = {Washington DC},
      publisher    = {Royal Society of Chemistry},
      reportid     = {FZJ-2025-04069},
      pages        = {2724-2736},
      year         = {2025},
      cin          = {IET-3},
      ddc          = {004},
      cid          = {I:(DE-Juel1)IET-3-20190226},
      pnm          = {1231 - Electrochemistry for Hydrogen (POF4-123)},
      pid          = {G:(DE-HGF)POF4-1231},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1039/D5DD00158G},
      url          = {https://juser.fz-juelich.de/record/1047013},
}