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Generative Foundation Model for Multi-Scale Materials Discovery, Design and Deployment

Objective

GENMAT will develop and validate Europe’s first integrated multi-scale, multi-modal materials-science foundation model (M3FM), shortening the 10–20-year lab-to-market cycle. A unified AI infrastructure will connect atomic chemistry, microstructure evolution, manufacturing optimisation and in-service performance monitoring, providing physics-aware insights from design to use so European industry delivers sustainable materials faster and at lower cost. M3FM combines physics-aware learning with EMMO semantics, multi-modal fusion (chemical structures, process parameters, imaging and sensors), and a hierarchical architecture that bridges scales, under open-science practices for reproducibility and trust. We address three high-risk, high-impact challenges: (1) a FAIR data-governance ecosystem integrating existing resources (e.g. NOMAD) into an interoperable platform; (2) a generalisable backbone that learns across materials classes, replacing fragmented single-task models; and (3) trustworthiness via physics-informed constraints, uncertainty quantification and transparent decision-making. The toolkit will provide encoders for chemistry/imaging/sensors, physics-informed neural operators, cross-scale transfer, generative models for molecules and microstructures, UQ and human-centred XAI. EuroHPC will support pre-training; parameter-efficient fine-tuning will enable partner-side adaptation, with secure options to combine proprietary and public datasets. Assets will be shared via EOSC/AI-on-Demand. Impact will be demonstrated through three use cases: recyclable vitrimer-based polymers; PFAS-free durable coatings; and AI-driven structural health monitoring for composite structures. Together these advance circularity, durability and safety, shorten development cycles and de-risk industrial uptake. By delivering open, sovereign AI infrastructure aligned with European values, GENMAT will place Europe at the forefront of AI-enabled materials discovery and deployment.

Keywords

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Programme(s)

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Topic(s)

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Funding Scheme

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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-CL4-2025-01

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Coordinator

POLITECNICO DI TORINO
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.

€ 649 386,56
Address
CORSO DUCA DEGLI ABRUZZI 24
10129 Torino
Italy

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Region
Nord-Ovest Piemonte Torino
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (13)

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