Systems of Digital Twins: A Systematic Literature Review and a formal framework
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2026-05-01
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The adoption of Digital Twins (DTs) in complex domains has motivated the formalization of systems of DTs to model complex physical entities with system-level properties. The current literature is characterized by a non-standardized and, in some cases, inconsistent use of definitions associated with systems of DTs, hindering the comparability of existing approaches and limiting the principled selection of architectures with respect to both the characteristics of the represented physical entity and the intended purpose. This work investigates systems of DTs through a systematic-narrative hybrid literature review. The systematic phase queried Scopus and, following PRISMA guidelines, resulted in 62 studies included in the final analysis. The review organizes the analyzed contributions by systematically extracting architectural and terminological features and by characterizing the main typologies of systems of DTs, namely Digital Twin Aggregate, Digital Twin Network, Federated Digital Twin, Composite Digital Twin, and Digital Twin Ecosystem. Based on the results of the literature analysis, the paper proposes a formal framework for the DT of a system of DTs, referred to as the Global DT (GDT). The framework introduces a purpose-oriented representation, a projection operator defining admissibility, and a model-based equivalence relation that enables the integration of heterogeneous DTs. A conceptual example involving virtual clinical trials is provided for illustration.
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Gervasi, M, L Bove, A Corallo, M Miglietta, L Negro, G Pellegrino, F Ria, CA Visaggio, et al. (2026). Systems of Digital Twins: A Systematic Literature Review and a formal framework. Digital Engineering, 9. pp. 100100–100100. 10.1016/j.dte.2026.100100 Retrieved from https://hdl.handle.net/10161/34606.
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Francesco Ria
Dr. Francesco Ria is a medical physicist and he serves as an Assistant Professor in the Department of Radiology. Francesco has an extensive expertise in the assessment of procedure performances in radiology. In particular, his research activities focus on the simultaneous evaluation of radiation dose and image quality in vivo in computed tomography providing a comprehensive evaluation of radiological exams. Moreover, Francesco is developing and investigating novel mathematical models that, uniquely in the radiology field, can incorporate a comprehensive and quantitative risk-to-benefit assessment of the procedures; he is continuing to apply his expertise towards the definition of new patient specific risk metrics, and in the assessment of image quality in vivo also using state-of-the-art imaging technology, such as photon counting computed tomography scanners, and machine learning reconstruction algorithms.
Dr. Ria is a member of the American Association of Physicists in Medicine (AAPM) task group 392 (Investigation and Quality Control of Automatic Exposure Control System in CT), of the AAPM task group 430 (Comprehensive quantification and dissemination of patient-model-based organ and effective dose estimations and their associated uncertainties for CT examinations), of the AAPM Medicine Public Education working group (WGATE), and of the Italian Association of Medical Physics task group Dose Monitoring in Diagnostic Imaging.
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