Artificial Intelligence
NLR Awarded 12 Genesis Mission Projects Ranging From Semiconductors To Alaska Utility Optimization
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Research Workflows Will Integrate AI With Scientific Investigation To Accelerate Discovery, Improve Predictive Capabilities, and Enhance Experimentation
Golden, CO, July 22, 2026 (GLOBE NEWSWIRE) -- The Genesis Mission is a historic national initiative led by the U.S. Department of Energy (DOE), which is building the world’s most powerful integrated science discovery platform. By uniting government, industry, academia, and philanthropy, it is accelerating breakthroughs in energy, scientific discovery, and national security through a new platform that combines artificial intelligence (AI), supercomputing, quantum systems, and advanced scientific instruments.
DOE’s National Laboratory of the Rockies (NLR) received 12 project awards from the Genesis Mission’s Phase I request for application (RFA), extending the laboratory’s work on promising pathways toward transformative scientific capabilities.
“With this funding, NLR will develop AI technologies that will improve the efficiency of automated experimentation, reduce the cost of simulations that guide the design of critical energy structures for longevity, and improve predictive capabilities for water resources, among other important areas,” said Jud Virden, NLR director. “These capabilities and partnerships are critical to our ability to reliably advance and scale energy sources and infrastructure and reduce reliance on imported critical materials.”
NLR is leading four projects that received funding:
- AI-Enabled Flow-Induced Vibration (FIV) Modeling in partnership with the California Institute of Technology
- Autonomous Identification of Semiconductor Charge Transport Physics in partnership with Lila Sciences
- Turbulence-Microphysics-Land Nexus (TML-Nexus): Unlocking Predictive Power for the Coupled Water Cycle using Weather Foundation Models in partnership with DOE’s Atmospheric Radiation Measurement (ARM) user facility
- Agentic-AI Driven Synthesis of Fuel Cell Catalysts Through Low-Temperature, Controlled Graphitization and Iron Incorporation in partnership with Washington University in St. Louis and the Georgia Institute of Technology.
Read more about these projects and the additional eight funded projects that include NLR’s support and partnership on the laboratory’s Genesis Mission webpage.
The goal of the Phase I RFA awards is to identify promising pathways toward transformative scientific capabilities and establish a foundation for future investment and scale. Project teams will design and demonstrate research workflows that integrate AI with scientific investigation while rigorously evaluating whether those approaches can accelerate discovery, improve predictive capabilities, enhance experimentation, or generate new scientific insights.
The National Laboratory of the Rockies is a national laboratory of the U.S. Department of Energy, Office of Critical Minerals and Energy Innovation, operated under Contract No. DE-AC36-08GO28308.
CONTACT: David Glickson National Laboratory of the Rockies 303-275-4097 David.Glickson@nlr.gov
Frequently Asked Questions
What is the Genesis Mission?
The Genesis Mission is a national initiative led by the U.S. Department of Energy (DOE) aimed at building the world’s most powerful integrated science discovery platform, combining AI, supercomputing, and quantum systems to accelerate breakthroughs in energy, science, and national security.
What is the National Laboratory of the Rockies (NLR)'s role in the Genesis Mission?
NLR received 12 project awards in Phase I of the Genesis Mission, leading four key projects focused on developing AI technologies to improve automated experimentation, reduce simulation costs for critical energy structures, and enhance predictive capabilities for water resources, among other areas.
What specific research areas will benefit from NLR's Genesis Mission funding?
The funding supports projects like AI-enabled modeling for flow-induced vibration, autonomous identification of semiconductor charge transport physics, unlocking predictive power for the coupled water cycle using weather foundation models, and AI-driven synthesis of fuel cell catalysts.
First published on Thu, Jul 23, 2026
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