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Genesis Mission: Transforming Science and Energy with AI

Genesis Mission: Transforming Science and Energy with AI

Supports teams developing artificial intelligence for scientific discovery and energy applications through a two-step federal process.

ClosedDOE Office of Science — Advanced Scientific Computing Research (ASCR)United StatesDeep-tech · core fit

⚠ This may reflect a past cycle — verify the current call on the funder's site.

The DOE Advanced Scientific Computing Research (ASCR) office leads the Genesis Mission: Transforming Science and Energy with AI, a cross-cutting FY2026 initiative funded under FOA DE-FOA-0003612. Posted on March 17, 2026, the solicitation covers artificial intelligence research applied to DOE scientific discovery and energy applications across program offices including ASCR, BES, BER, FES, and HEP. The FOA's final close date is December 17, 2026.

The solicitation uses a phased submission structure. Phase I applications were due May 1, 2026 via Grants.gov. Phase II Letters of Intent were due May 1, 2026 via PAMS, with Phase II full applications due May 19, 2026. A third window — Phase II applications from Phase I awardees — closes on December 17, 2026. Eligible institution types include universities, national laboratories, industry, and nonprofits. Award amounts are not published in available sources; they are specified in the FOA PDF (DE-FOA-0003612). Applications are submitted through Grants.gov; LOIs and pre-applications through PAMS (pamspublic.science.energy.gov).

For teams with AI capabilities intersecting DOE science or energy missions, the Genesis Mission is the principal competitive vehicle for FY2026. Because Phase I and the first Phase II window have passed, prospective applicants should verify their phase eligibility with the ASCR program office before submitting. The PAMS helpdesk can be reached at sc.pams-helpdesk@science.doe.gov or (855) 818-1846. Winning proposals will demonstrate quantifiable AI methodologies advancing a specific DOE scientific mission area and a clear research team with relevant computational infrastructure.

AI and machine learning research to transform DOE scientific discovery and energy applications, funded through ASCR's two-phase Genesis Mission FOA.

CycleiHow often this grant runs — e.g. annually, on a rolling basis, or a one-off call.One-off
Next deadlineiThe next date applications are due. Rolling means you can apply any time.
Decision timeiTypical time from the deadline to the funder's decision.
Project durationiHow long the funded work is expected to run.
Award typeiThe form of funding — grant, equity, loan, tax credit, etc.Grant
Match fundingiThe share of project costs you must cover yourself. 0% = fully funded.0%
Funding pooliThe total budget available across all awards in this round.

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Last verified: 29 Jun 2026Source: science.osti.gov