DOE Launches $293M Genesis Mission to Accelerate AI-Driven Nuclear Science

The U.S. Department of Energy dropped a $293 million Request for Applications on March 17, titled "The Genesis Mission: Transforming Science and Energy with AI," inviting interdisciplinary teams to deploy novel AI models against more than 20 national challenges spanning advanced manufacturing, biotechnology, critical materials, nuclear energy, and quantum information science.

The announcement marks the first funding opportunity directly tied to the Genesis Mission and focuses on AI-driven solutions across a wide range of subject matter areas, drawn from 26 priority challenges DOE identified earlier this year. For the nuclear community specifically, the stakes are concrete: challenge areas include nuclear fission work on reactor design optimization, safety analysis, and fuel cycle modeling, as well as nuclear fusion topics covering plasma control, materials degradation prediction, and pathway-to-commercialization modeling.

"The Genesis Mission has caught the imagination of our scientific and engineering communities to tackle national challenges in the age of AI," said Under Secretary for Science Darío Gil and Genesis Mission Director. "With these investments we seek breakthrough ideas and novel collaborations leveraging the scientific prowess of our National Laboratories, the private sector, universities, and science philanthropies." Gil made those remarks as DOE announced the RFA coinciding with his appearance at the Nvidia GPU Technology Conference, where he was photographed alongside Ian Buck, Nvidia's vice president of hyperscale and HPC computing.

One challenge area that will resonate with anyone who has worked on subsurface energy systems: the RFA includes a topic on "Unleashing Subsurface Strategic Energy Assets," where applicants are asked to leverage AI tools to better understand chemical and hydrologic transport in the subsurface, evolution of fractures in the upper crust, and control of subsurface fractures. That kind of precision targeting tells you this isn't a broad research grant sprinkled across vague priorities.

In keeping with the Genesis Mission's goal of accelerating scientific innovation, the RFA seeks applications from researchers within DOE's national laboratory apparatus, the private sector, and academia — leveraging the department's supercomputer infrastructure to run the advanced AI systems at the heart of each project.

The award structure is tiered and deliberate. Phase I awards will range from $500,000 to $750,000 and support a nine-month project period. The intent for Phase I is straightforward: small teams demonstrate data scaling laws and validate their proposed AI-for-science methods before any larger commitment. Phase II awards will range from $6 million to $15 million over a three-year project period, designed for larger teams of 15 to 25 people working across sectors at full scale. Teams may apply directly to either phase in FY 2026, and successful Phase I teams will be eligible to compete for larger Phase II awards in future cycles.

For-profit entities, whether serving as the lead organization or as a team member, must provide a cost share of at least 20% for basic and applied R&D activities and 50% of total project costs for demonstration and commercial application tasks. Industry teams assembling proposals now need to build that into their budgets from day one.

Phase I applications and Phase II letters of intent are due April 28, 2026, with Phase II applications due May 19, 2026. DOE plans to hold an informational webinar about this RFA on March 26, 2026 — two days from now, and worth attending given that these sessions routinely surface evaluation priorities not spelled out in the solicitation text. The official funding opportunity number is DE-FOA-0003612.

The $293 million in new funding is one of the largest individual investments in the Genesis Mission, and is a signal that the program is moving steadily from the planning phase to the operational phase. For researchers who have been watching AI-for-science initiatives cycle through white papers and workshops for years, this is the moment the money follows the mission.