TY  - JOUR
AU  - Manzi, Andrea
AU  - Bardaji, Raul
AU  - Rodero, Ivan
AU  - Moltó, Germán
AU  - Fiore, Sandro
AU  - Campos, Isabel
AU  - Elia, Donatello
AU  - Sarandrea, Francesco
AU  - Millar, A. Paul
AU  - Spiga, Daniele
AU  - Bunino, Matteo
AU  - Accarino, Gabriele
AU  - Asprea, Lorenzo
AU  - Bernardo, Samuel
AU  - Caballer, Miguel
AU  - Chatzikyriakou, Charis
AU  - Ciangottini, Diego
AU  - Claus, Michele
AU  - Cristofori, Andrea
AU  - Donno, Davide
AU  - Donno, Emanuele
AU  - Ferrario, Iacopo
AU  - Fronza, Massimiliano
AU  - Jacob, Alexander
AU  - Komijani, Javad
AU  - Marinkovic, Marina Krstic
AU  - Legger, Federica
AU  - Palomo, Ivan
AU  - Parcero, Estíbaliz
AU  - Sarma, Rakesh
AU  - Sinha Ray, Gaurav
AU  - Vallero, Sara
AU  - Zvolensky, Juraj
TI  - interTwin: Advancing Scientific Digital Twins through AI, Federated Computing and Data
JO  - Future generation computer systems
VL  - 179
SN  - 0167-739X
CY  - Amsterdam [u.a.]
PB  - Elsevier Science
M1  - FZJ-2026-00018
SP  - 108312
PY  - 2026
AB  - 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.
LB  - PUB:(DE-HGF)16
DO  - DOI:10.1016/j.future.2025.108312
UR  - https://juser.fz-juelich.de/record/1050200
ER  -