CX-270810: Oak Ridge National Laboratory - AI-Based Generative Design Framework for Rapid Deployment of H2-fueled Power Generation Technologies

Funding will support the project team's small-scale research and development of a high-throughput, performance-specific, and cost-effective generative materials design and discovery framework tailored for hydrogen (H2) fueled gas turbine technologies, applicable to power generation and transportation industries.

Office of NEPA Policy and Compliance

August 12, 2025
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Funding will support the project team's small-scale research and development of a high-throughput, performance-specific, and cost-effective generative materials design and discovery framework tailored for hydrogen (H2) fueled gas turbine technologies, applicable to power generation and transportation industries. Specifically, the project team will (1) test and evaluate structural materials under high temperatures, (2) develop a framework to analyze physical condition of post testing materials, (3) apply test results to fabricate alloys for further material screening, investigation, and validation using the analytical framework, and (4) finalize analytical design framework for final platform deployment.