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@ARTICLE{Kim:1034712,
      author       = {Kim, Jangho and Pederiva, Giovanni and Shindler, Andrea},
      title        = {{M}achine learning mapping of lattice correlated data},
      journal      = {Physics letters / B},
      volume       = {856},
      issn         = {0031-9163},
      address      = {Amsterdam},
      publisher    = {North-Holland Publ.},
      reportid     = {FZJ-2024-07469},
      pages        = {138894 -},
      year         = {2024},
      cin          = {JSC / IAS-4},
      ddc          = {530},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IAS-4-20090406},
      pnm          = {611 - Fundamental Particles and Forces (POF4-611) / 5111 -
                      Domain-Specific Simulation $\&$ Data Life Cycle Labs (SDLs)
                      and Research Groups (POF4-511) / DFG project
                      G:(GEPRIS)460248186 - PUNCH4NFDI - Teilchen, Universum,
                      Kerne und Hadronen für die NFDI (460248186) / DFG project
                      513989149 - Beiträge jenseits des Standardmodells zum
                      elektrischen Dipolmoment von Nukleonen (513989149) / DFG
                      project G:(GEPRIS)196253076 - TRR 110: Symmetrien und
                      Strukturbildung in der Quantenchromodynamik (196253076)},
      pid          = {G:(DE-HGF)POF4-611 / G:(DE-HGF)POF4-5111 /
                      G:(GEPRIS)460248186 / G:(GEPRIS)513989149 /
                      G:(GEPRIS)196253076},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001292186700001},
      doi          = {10.1016/j.physletb.2024.138894},
      url          = {https://juser.fz-juelich.de/record/1034712},
}