Genesis Mission Projects

Accelerating American Innovation

AI-driven projects for national scientific challenges

ORNL is taking a central role in the Genesis Mission, leading nine projects and contributing to 32 more that apply AI and advanced computing to some of the nation’s most complex scientific challenges. From fusion energy and critical minerals to water forecasting, advanced materials and autonomous science, these efforts are designed to move promising ideas into practical scientific capabilities with broad national impact.

ORNL-led projects

AI-assisted fusion power plant designs

Developing an AI platform that will integrate high-performance computing tools and robotic system design.

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Low-energy AI for scientific discovery

Analyzing scientific data at unprecedented rates and scales with lower costs and higher speeds than conventional AI while maintaining equivalent accuracy.

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AI-accelerated materials development and advanced manufacturing applications

AI-based “foundation model factory” that will create custom foundation AI models that U.S. industry can leverage

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AI-enabled discovery of rare earth elements

Improving predictions of underground deposits of materials essential for energy technologies, advanced manufacturing and national supply chain security.

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AI-powered operations for self-driving science research

Coordinating network traffic among agentic and scientific workflows across institutional boundaries.

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AI foundation model development for water forecasting

Improving prediction of surface and groundwater systems across the continental U.S.

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AI-enabled subsurface biogeochemical modeling

Increasing understanding of underground biogeochemical cycles that affect the availability of resources such as critical minerals. 

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AI for long-range water prediction

Forecasting water availability, streamflow and river temperature weeks to years in advance, supporting hydropower and thermoelectric operations in the Tennessee Valley Authority region.

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AI for next-generation fusion materials development

Linking processing, microstructure and performance that will accelerate deployment of next-generation structural alloys for reliable operation in nuclear fusion power plants.

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Collaborations

AI Predictions for Safer, Higher-Performance Nuclear Reactor Control
Reactor Exhaust And Core Twin -- Multi-fidelity AI Predictions for Safe, Integrated, and High-Performance Control
AI Coordination of Advanced Manufacturing Simulations
Agentic HPC Pipeline Initiative: AI-Driven Orchestration of DOE Lab Codes for Advanced Manufacturing
AI Predictions for Scaling Nuclear Waste Vitrification
Vitrification AI for Scale-Bridging Prediction and Process Translation
Machine Learning for Engineering Microbial Gene Transfer
Machine-learning Optimization of Biological Interfaces for Lateral gene Exchange PATHways
Faster Nuclear Data Analysis Using AI
Accelerating Nuclear Data Delivery Using AI/ML approaches in High Complexity Data Sets
AI Management of Distributed Electric Grid Systems
Scalable Agentic Grid Engine for Distribution Systems
Tracing Cybersecurity Threats Across Scientific AI Workflows
Scientific Provenance-Oriented Threat Tracing and Attribution for Genesis Workflows
Portable AI-Enabled Diagnostics for Advanced Research Facilities
Facility-Level Agentic AI for Portable LaserNetUS Diagnostics and Interoperable Device Integration
AI-Accelerated Nuclear Astrophysics Simulations
Enabling Nuclear Astrophysics Computational Transformation with AI
AI Modeling of Complex Turbulent Energy Flows
Differentiable Physics-Integrated Generative Modeling for Complex Turbulent Flows in DOE Energy Systems
AI Tools for Improving Supercomputing Workloads
Using AI to Standardize and Systematically Advance HPC Workloads
AI Predictions for Coupled Fluid and Particle Flows
Physics Informed Transformer Foundation Model with Uncertainty Quantification for Coupled Eulerian and Lagrangian Flow Physics (PIT-FM) 
Optimizing Nuclear Waste Treatment Through Salt Chemistry Predictions
Salt Chemistry Optimization and Prediction Engine for Nuclear Waste Treatment Planning
Faster AI Modeling of Complex Fluid Flows
ROBIN-NET: RObust BIdirectional PINNs for Accelerated Complex Flow Modeling and Discovery
AI Predictions of Material Fatigue and Structural Lifespan
A Material Agnostic Physics-Aware, Interpretable AI Framework for Fatigue Life Prediction in TPMS Structures
Adaptive AI for Automated Chemical Manufacturing
Closed-Loop, Efficient, Adaptive, and Robust AI for Agentic Chemical Manufacturing
Tracing Scientific Data and Model Results to Sources
A Composable Provenance Module for Scientific Foundation Models
AI Modeling of Subsurface and Reservoir Systems
Molecular-to-Reservoir Integrated AI for Coupled Landscape and Earth-system Subsurface Intelligence
Secure AI Access for Sensitive Scientific Research
AI-Mediated Cybersecure Air-Gapped Enclaves for High-Throughput Science
AI Discovery of Advanced Semiconductor Materials and Interfaces
From Edisonian Optimization to Predictive Molecular Design: AI-Driven Discovery and Engineering of Advanced Semiconductor Interfaces
AI Optimization of High-Performance Computing Applications
An End-to-End AI Framework for Performance Prediction and Optimization in HPC Applications
AI Discovery of Rare Scientific Events
Enabling Rare Event Discovery with Surrogate Modeling and Simulation AI Agents
AI Forecasting of Seasonal and Long-Term Water Conditions
An Agentic AI Framework for Seasonal-to-Interannual U.S. Water Prediction: Coupling Large AI-based Prediction Models and Wavelet Diffusion with E3SM
AI Discovery and Recovery of Geothermal Critical Minerals
AI-Enabled Geobiological Critical Minerals Characterization and Recovery in Geothermal Systems
Digital Modeling of Fusion Fuel Production and Recovery
Developing a Digital Replica of a Deuterium-Tritium Process Loop for Fusion Fuel Cycle Optimization
Real-Time AI Control of Fusion Energy Systems
Weak-Form Agentic Digital Twins for Real-Time Control of Magnetically Confined Fusion Systems Under Sparse Observation
Physics-Enhanced AI Discovery of Unconventional Superconductors
Physics-Enhanced AI Framework for Discovering New Classes of Unconventional Superconductors
AI Modeling of Connected Surface and Groundwater Systems
Rigorous AI and Information Network for Surface-Subsurface Water System Coupling
Advancing AI for nuclear energy through Prometheus
Integrated AI platform for faster nuclear energy deployment
AI Platforms for Accelerating 2D Materials Development
AI-Orchestrated Multimodal Platforms for Accelerated Discovery, Scale-Up, and Deployment of 2D Materials
Recovering Rare Earth Elements with Magnetic Sorbents
Selective Recovery of Light and Heavy Rare-Earth Element Pairs via Functionalized Magnetic Sorbents with Induction-Assisted Regeneration
AI Modeling of Reservoir and Groundwater Interactions
Reservoir-Groundwater Interactions for River Flow Variability, Energy, and Resilience with AI