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Trusted AI-Generated Digital Twins for Research InfraStructurEs

Objective

TwinRISE will deliver a European reference framework for Trusted AI-Generated Digital Twins across research, healthcare, and energy infrastructures. It responds to the Horizon Europe INFRA-TECH-04 call by developing a distributed, AI-native digital twin engine that is modular, interoperable, and trustworthy by design.
European research infrastructures face shared challenges: high operational costs, safety-critical constraints, and massive heterogeneous data flows. TwinRISE addresses these by integrating physics-based models with AI surrogates, multimodal foundation models, and federated learning pipelines, hosted on EuroHPC AI Factories. Privacy-preserving methods and enhanced auditability ensure GDPR compliance, data sovereignty, and transparent collaboration.
The project will validate its framework in seven high-impact use cases spanning three domains: (i) healthcare applications such as proton therapy planning and MRI-CT translation (CFB, UCAEN, ULIV, UOX), (ii) accelerator operations and radiation safety (GANIL, KIT, GSI, IFMIF-DONES), and (iii) energy-aware twins for fusion and accelerator-driven systems. Each case will demonstrate predictive maintenance, treatment optimisation, or real-time diagnostic improvements, advancing TRLs from 4-5 to 6-7.
TwinRISE advances the state of the art by combining: generative AI pipelines for automated twin assembly; federated infrastructures enabling collaborative training without raw data exchange; explainability and reliability frameworks aligned with the EU AI Act; and agentic, human-in-the-loop interfaces for transparent decision support.
Expected impacts include: up to 30% downtime and commissioning reduction in accelerator and medical systems; 15–20% energy savings via optimised HPC training and control; enhanced patient outcomes through safer and faster planning; and broad uptake of FAIR-compliant models and workflows.

Fields of science (EuroSciVoc)

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Keywords

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Programme(s)

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Topic(s)

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HORIZON-RIA - HORIZON Research and Innovation Actions

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Call for proposal

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(opens in new window) HORIZON-INFRA-2025-01

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Coordinator

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 1 813 982,50
Address
RUE MICHEL ANGE 3
75794 Paris
France

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Region
Ile-de-France Ile-de-France Paris
Activity type
Research Organisations
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Total cost

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Participants (16)

Partners (2)

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