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@INPROCEEDINGS{Pargmann:1025685,
      author       = {Pargmann, Max and Quinto, Daniel Maldonado and Kesselheim,
                      Stefan and Ebert, Jan and Pitz-Paal, Robert},
      title        = {{T}owards a neural network based flux density prediction
                      – {U}sing generative models to enhance {CSP} raytracing},
      publisher    = {AIP Publishing},
      reportid     = {FZJ-2024-03074},
      pages        = {030015-1–030015-12},
      year         = {2023},
      month         = {Sep},
      date          = {2021-09-27},
      organization  = {THE INTERNATIONAL CONFERENCE ON
                       BATTERY FOR RENEWABLE ENERGY AND
                       ELECTRIC VEHICLES (ICB-REV) 2022, South
                       Tangerang (Indonesia), 27 Sep 2021 - 1
                       Oct 2021},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1063/5.0148765},
      url          = {https://juser.fz-juelich.de/record/1025685},
}