The Genesis Mission: Transforming Science and Energy with AI
Office of Science · Other Federal · DE-FOA-0003612
Source: Grants.gov · View original posting ↗
- AwardWhat a single award can be worth — the funder's published per-award amount or floor–ceiling range.
- $500K – $16M
- DeadlineFinal application due date.
- Dec 17, 2026
- Letter of intentDue date for the letter of intent (a short pre-application some funders require or request before the full proposal).
- —
- MechanismNIH activity code — the grant type (R01 research project, R21 exploratory, K series career development, F series fellowship, …).
- —
- DurationMaximum project period for a single award.
- —
- Expected awardsHow many awards the funder anticipates making under this opportunity.
- —
- Funding cycleHow often the program accepts applications (annual, multiple cycles per year, rolling, or one-time).
- Unknown
- Open dateWhen applications open (or opened).
- Mar 17, 2026
- Total fundingThe overall pool the funder expects to commit across ALL awards under this opportunity — not what one project receives.
- $293.8M total
- Clinical trialWhether proposed projects must, may, or must not include a clinical trial.
- Unspecified
Research areas
Auto-classified from the title and description (keyword-based) — may be imperfect.
Description
The DOE Office of Science (SC), Office of Critical Minerals and Energy Innovation (CMEI), Office of Environmental Management (EM), Office of Nuclear Energy (NE), Office of Electricity (OE), and Hydrocarbons and Geothermal Office (HGEO) hereby announce interest in receiving applications from interdisciplinary teams addressing the Genesis Mission National Science and Technology Challenges to accelerate scientific discovery and research and development (R&D) workflows using novel artificial intelligence (AI) models and frameworks. By achieving AI advantage, these teams will advance the DOE's mission and ensure America’s security and prosperity by addressing energy, environmental, and nuclear challenges through science and technology. Teams are encouraged to leverage the extensive scientific and data resources of the DOE/National Nuclear Security Administration (NNSA), the National Laboratories, U.S. industry, and academia. The resulting AI models and workflows, if successful, may be integrated into the American Science Cloud. DOE is soliciting new FY26 Phase I small team and Phase II large team applications in the following topic areas: advanced manufacturing, biotechnology, critical materials, nuclear fission, nuclear fusion, quantum information science, semiconductors and microelectronics, discovery science, and energy (see specific focus areas in Section III Program Descriptions). In addition, this RFA will remain available to allow the recipients of FY26 Phase I awards to apply for larger team Phase II awards. In a few weeks, DOE plans to amend the RFA to clarify the LOI and application guidelines for FY26 Phase II awards. In FY27, DOE plans to amend the RFA or to issue an alternative funding opportunity to update the topic and focus areas to allow a second competition of Phase I small team applications and Phase II large team applications.