| Title: |
interTwin: Advancing Scientific Digital Twins through AI, Federated Computing and Data |
| Authors: |
Manzi, Andrea; Bardaji, Raul; Rodero, Ivan; Moltó, Germán; Fiore, Sandro; Campos, Isabel; Elia, Donatello; Sarandrea, Francesco; Millar, A. Paul; Spiga, Daniele; Bunino, Matteo; Accarino, Gabriele; Asprea, Lorenzo; Bernardo, Samuel; Caballer, Miguel; Chatzikyriakou, Charis; Ciangottini, Diego; Claus, Michele; Cristofori, Andrea; Donno, Davide; Donno, Emanuele; Ferrario, Iacopo; Fronza, Massimiliano; Jacob, Alexander; Komijani, Javad; Marinkovic, Marina Krstic; Legger, Federica; Palomo, Ivan; Parcero, Estíbaliz; Sarma, Rakesh; Sinha Ray, Gaurav; Vallero, Sara; Zvolensky, Juraj |
| Contributors: |
Manzi, Andrea; Bardaji, Raul; Rodero, Ivan; Moltó, Germán; Fiore, Sandro; Campos, Isabel; Elia, Donatello; Sarandrea, Francesco; Millar, A. Paul; Spiga, Daniele; Bunino, Matteo; Accarino, Gabriele; Asprea, Lorenzo; Bernardo, Samuel; Caballer, Miguel; Chatzikyriakou, Chari; Ciangottini, Diego; Claus, Michele; Cristofori, Andrea; Donno, Davide; Donno, Emanuele; Ferrario, Iacopo; Fronza, Massimiliano; Jacob, Alexander; Komijani, Javad; Marinkovic, Marina Krstic; Legger, Federica; Palomo, Ivan; Parcero, Estíbaliz; Sarma, Rakesh; Sinha Ray, Gaurav; Vallero, Sara; Zvolensky, Juraj |
| Publication Year: |
2026 |
| Collection: |
Università degli Studi di Trento: CINECA IRIS |
| Description: |
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. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/wos/WOS:001651938800001; volume:179; issue:108312; journal:FUTURE GENERATION COMPUTER SYSTEMS; https://hdl.handle.net/11572/473830; https://www.sciencedirect.com/science/article/pii/S0167739X25006065 |
| DOI: |
10.1016/j.future.2025.108312 |
| Availability: |
https://hdl.handle.net/11572/473830; https://doi.org/10.1016/j.future.2025.108312; https://www.sciencedirect.com/science/article/pii/S0167739X25006065 |
| Rights: |
info:eu-repo/semantics/openAccess ; license:Creative commons ; license uri:http://creativecommons.org/licenses/by-nd/4.0/ ; license uri:http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| Accession Number: |
edsbas.F15078C |
| Database: |
BASE |