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@ARTICLE{Manzi:1050200,
      author       = {Manzi, Andrea and Bardaji, Raul and Rodero, Ivan and
                      Moltó, Germán and Fiore, Sandro and Campos, Isabel and
                      Elia, Donatello and Sarandrea, Francesco and Millar, A. Paul
                      and Spiga, Daniele and Bunino, Matteo and Accarino, Gabriele
                      and Asprea, Lorenzo and Bernardo, Samuel and Caballer,
                      Miguel and Chatzikyriakou, Charis and Ciangottini, Diego and
                      Claus, Michele and Cristofori, Andrea and Donno, Davide and
                      Donno, Emanuele and Ferrario, Iacopo and Fronza,
                      Massimiliano and Jacob, Alexander and Komijani, Javad and
                      Marinkovic, Marina Krstic and Legger, Federica and Palomo,
                      Ivan and Parcero, Estíbaliz and Sarma, Rakesh and Sinha
                      Ray, Gaurav and Vallero, Sara and Zvolensky, Juraj},
      title        = {inter{T}win: {A}dvancing {S}cientific {D}igital {T}wins
                      through {AI}, {F}ederated {C}omputing and {D}ata},
      journal      = {Future generation computer systems},
      volume       = {179},
      issn         = {0167-739X},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2026-00018},
      pages        = {108312},
      year         = {2026},
      abstract     = {The EU project interTwin, co-designed and implemented the
                      prototype of an interdisciplinary Digital Twin Engine (DTE),
                      an open-source platform that provides generic and
                      domain-specific software components for modelling and
                      simulation to integrate application-specific Digital Twins
                      (DTs). The DTE is built upon a co-designed conceptual model
                      - the DTE blueprint architecture - guided by open standards
                      and interoperability principles. The ambition is to develop
                      a unified approach to the implementation of DTs that is
                      applicable across diverse scientific disciplines to foster
                      collaborations and facilitate developments. Co-design
                      involved DT use cases from high-energy physics, radio
                      astronomy, astroparticle physics, climate research, and
                      environmental monitoring, which drove advancements in
                      modelling and simulation by leveraging heterogeneous
                      distributed digital infrastructures, enabling dynamic
                      workflow composition, real-time data management and
                      processing, quality and uncertainty tracing of models, and
                      multi-source data fusion.},
      cin          = {JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / interTwin - An
                      interdisciplinary Digital Twin Engine for science
                      (101058386)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(EU-Grant)101058386},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1016/j.future.2025.108312},
      url          = {https://juser.fz-juelich.de/record/1050200},
}