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Department of Energy National Laboratories Research on Trusted AI is sponsored by U.S. Department of Energy (DOE) / National Nuclear Security Administration (NNSA). This program supports research at DOE/NNSA National Laboratories focusing on creating a framework for trusted AI to ensure scientific discoveries built on AI are reproducible, reliable, and secure.
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Energy Department Announces $293 Million in Funding to Support Genesis Mission National Science and Technology Challenges | Department of Energy Energy Department Announces $293 Million in Funding to Support Genesis Mission National Science and Technology Challenges The U.S. Department of Energy today announced funding to advance the Genesis Mission’s efforts to tackle the nation’s most complex science and technology challenges.
WASHINGTON— The U.S. Department of Energy (DOE) today announced funding to advance the Genesis Mission’s efforts to tackle the nation’s most complex science and technology challenges. This includes a $293 million Request for Application (RFA),“The Genesis Mission: Transforming Science and Energy with AI.
” Through this RFA, DOE invites interdisciplinary teams to leverage novel AI models and frameworks to address over 20 national challenges spanning advanced manufacturing, biotechnology, critical materials, nuclear energy, and quantum information science.
“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.
” The RFA is open to interdisciplinary teams from DOE National Laboratories, U.S. industry, and academia. Phase I awards will range from $500,000 to $750,000 and will support a nine month project period. Phase II awards will range from $6 million to $15 million over a three year project period.
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. Phase I applications and Phase II letters of intent are due April 28, 2026. Phase II applications are due May 19, 2026.
DOE plans to hold an informational webinar about this RFA on March 26, 2026. For full eligibility, application instructions, and challenge details, see the official NOFO: DE-FOA-0003612 . Registration instructions and other details will be posted here .
NNSA Achieves Milestone in Uranium Purification at Y-12 NSC View Previous Press Release Trump Administration Keeps Coal Plant Open to Ensure Affordable, Reliable and Secure Power in the Northwest Explore more on these topics: (202) 586-4940 or DOENews@hq. doe. gov
According to the current listing, eligibility includes: DOE/NNSA National Laboratories, and potentially other organizations collaborating with them, especially those with domain science expertise. Confirm the full requirements in the official notice before applying.
The current listing shows not specified, but mentions $320M investment in pioneering scientific research by DOE. Verify award ceilings, matching requirements, and allowable costs in the official notice.
This listing does not include a published deadline, but it is an annual program. Check the official notice for the current cycle's exact dates.
Department of Energy National Laboratories Research on Trusted AI is funded by U.S. Department of Energy (DOE) / National Nuclear Security Administration (NNSA). Verify program details on the funder's official page before applying.
Yes — this listing is flagged as national in scope, so applicants across the U.S. may apply, subject to the sponsor's other eligibility criteria.
Applications go through the funder's official portal — the Apply Now link on this page goes there directly.
The Trump administration committed $5B and 278 projects across 15+ agencies to the Genesis Mission. Here's the structure — and how to position for the next wave.
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