Holistic-M3FM Framework
A rigorous, multi-modal foundation model for advanced materials discovery, integrating domain-specific encoders and a physics-informed core.
Multi-Modal Encoders
The core architectural triad processing distinct material modalities into a unified latent space.
Domain-Specific Large Vision Models
Processes high-resolution microstructural imaging (SEM/TEM), XRD, and AFM topography data using ViT architectures with ~1B parameters.
Domain-Specific Large Language Models
Parses unstructured scientific literature, patents, synthesis protocols, and property databases using BERT-large/GPT-2 medium architectures.
Domain-Specific Large Audio Models
Analyzes acoustic emission data and ultrasonic NDT signals using Audio Spectrogram Transformer (SSAST) architectures with ~800M parameters.
Four Pillars of GENMAT
Unified Infrastructure & AI Ecosystem
Seamlessly connects atomic chemistry, advanced microstructural modeling, process optimization, and real-time performance monitoring in one coherent digital ecosystem.
Physics-Informed Predictions
Integrates strict physical constraints, kinetic relationships, thermodynamic principles, and standardized European EMMO ontologies for scientifically valid outputs.
Overcoming Fragmentation
The Holistic-M3FM backbone learns across material classes and dimensional scales (from atoms to macroscopic components) with a Multi-gate Mixture-of-Experts architecture.
Trustworthy & Sustainable
Built-in explainable AI, systematic uncertainty quantification, and full EU AI Act compliance for reliability, transparency, and ethical standards.
Project Timeline & Milestones
Key milestones for the 36-month project duration.
Kick-off & Risk Management
Official project kick-off meeting and activation of risk control procedures.
Visual Identity & Requirements
Launch of consortium visual identity and public website; freeze of user requirements and data governance specifications.
FAIR Data Fabric & Initial DB
FAIR Data Fabric infrastructure operational with ontologies, SHACL validators, and APIs; completion of initial pre-training databases.
Mid-term Review
Technical mid-term review meeting and update of critical risk register.
Workbench & SDK Release
Official release of GENMAT Workbench (GA version) with Python SDK.
Data Generation & Trust Toolkit
Completion of data generation cycles (real and augmented); integration of Trust Toolkit, license release, and models opening.
Final Validation & Audit
Final validation of all 5 use cases reaching TRL-4 and completion of compliance audits.