1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
This request for applications, issued as DE-FOA-0003612 by the DOE Office of Science, is the main competitive vehicle of the Genesis Mission, the Department of Energy's push to use artificial intelligence to accelerate scientific discovery across its mission space. It anticipates 293.
76 million US dollars in awards against twenty-one named national challenge areas, including reenvisioning advanced manufacturing and industrial productivity, scaling the biotechnology revolution, securing America's critical minerals supply, delivering nuclear energy that is faster, safer and cheaper, achieving AI-driven autonomous laboratories and designing materials with predictable functionality, alongside further topics spanning quantum information science, semiconductors, discovery science and energy systems.
The two-phase design funds a nine-month Phase I at 500,000 to 750,000 dollars to establish feasibility, then a three-year Phase II at 6 to 15 million dollars to build and deploy.
The mandatory team composition is the defining feature: Phase I teams must include at least two of DOE or NNSA national laboratories, industry, or higher education and non-profit organisations, and Phase II teams must include at least one national laboratory partner and at least one industry partner, with higher education participation strongly encouraged.
That requirement makes this a partnership instrument rather than a single-investigator grant, and it routes access to DOE's data, computing facilities and experimental infrastructure through the laboratory partner. Phase I applications and Phase II letters of intent were due 28 April 2026; full Phase II applications are due 17 December 2026.
Get a weekly digest of new grants like this
A free weekly digest of new foundation and federal funding opportunities as they're added to Granted. Unsubscribe anytime.
Or search similar grants →According to the current listing, eligibility includes: Team composition is the binding eligibility requirement and it differs by phase. Phase I teams must include at least two of the following three categories: DOE or NNSA national laboratories, industry, and institutions of higher education or non-profit organisations. Phase II teams must include at least one partner from the national laboratories and at least one partner from industry, with inclusion of higher education strongly encouraged. A university-only or company-only application does not meet the threshold, and prospective applicants without an existing laboratory relationship should treat partner identification as the first and longest lead-time task, since laboratory partners have finite capacity to join teams and commit early. For-profit entities must provide cost share of at least 20 percent for basic and applied research and development activities and 50 percent of total project costs for demonstration and commercial application tasks, so industry-led teams should resolve cost-share sourcing before committing. Proposed work must map onto one of the twenty-one national challenge topic areas named in the request for applications, which span advanced manufacturing, biotechnology, critical minerals, nuclear fission and fusion, AI-driven autonomous laboratories, materials design, quantum information science, semiconductors, discovery science and energy systems; applicants should cite the specific challenge rather than describing a general AI-for-science capability. Phase I applications and Phase II letters of intent were due 28 April 2026, and full Phase II applications are due 17 December 2026 at 11:59 PM Eastern. Applicants should read the full request for applications for the complete challenge list and current cost-share and submission requirements. Confirm the full requirements in the official notice before applying.
The current listing shows DOE anticipates a total of 293.76 million US dollars in prior and current fiscal year funds for awards under this request for applications. Phase I awards are 500,000 to 750,000 US dollars for nine-month projects and Phase II awards are 6 million to 15 million US dollars over three years, so amount_min is recorded as 500,000 and amount_max as 15,000,000 US dollars, spanning both phases. The two-phase structure is the key budgeting consideration and the phases are not simply sequential tiers of the same thing: Phase I is a nine-month, sub-million-dollar effort suited to establishing a team, curating data and demonstrating a modelling approach, while Phase II is a three-year, eight-figure commitment to building and deploying a working capability, and the gap between the two is large enough that a Phase I award should be planned explicitly as the evidence base for a Phase II application rather than as a self-contained project. For-profit participants must provide cost share of at least 20 percent for basic and applied research and development activities and 50 percent of total project costs for demonstration and commercial application tasks, which materially changes the economics for industry-led teams and should be settled with partners before a budget is drafted. The scale of the total pool, close to 300 million dollars, makes this one of the largest single AI-for-science funding actions in the United States federal portfolio, and the per-award Phase II ceiling of 15 million dollars is high enough to fund foundation-model development rather than only applications of existing models. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for DOE Genesis Mission Request for Applications DE-FOA-0003612 for AI Models and Autonomous Laboratories Across Twenty-One National Science and Energy Challenges are due December 17, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
DOE Genesis Mission Request for Applications DE-FOA-0003612 for AI Models and Autonomous Laboratories Across Twenty-One National Science and Energy Challenges is funded by U.S. Department of Energy (DOE), Office of Science, under the Genesis Mission. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The ONR Long Range Broad Agency Announcement (N00014-25-S-B001) is the Office of Naval Research's primary mechanism for soliciting research proposals across all naval science and technology priority areas. The BAA accepts proposals on a rolling basis through September 30, 2026 and covers ONR's full spectrum of research interests with particular emphasis on AI-related topics including autonomous maritime systems, human-machine teaming, machine learning for sensor fusion, cooperative autonomous swarm technology, undersea autonomy, and AI-enabled decision superiority. Proposals can be funded through multiple mechanisms including individual investigator grants, the Young Investigator Program (~$510K over 3 years for early-career faculty), and Multidisciplinary University Research Initiative (MURI) awards ($1.5M/year for 3-5 years for research teams). ONR recommends contacting relevant program officers before submitting to discuss alignment with current research priorities. The BAA supports basic research (6.1), applied research (6.2), and advanced technology development (6.3) across the full range of naval-relevant science and engineering disciplines.
PRIMED-AI is a new NIH Common Fund programme, Precision Medicine with AI: Integrating Imaging with Multimodal Data, which combines medical imaging with other health data to build AI-powered clinical decision support tools for personalised medicine. This opportunity, RFA-RM-27-014, funds the programme's Validation Center: a dedicated hub that independently evaluates and characterises the AI-enabled, image-based multimodal clinical decision support tools developed elsewhere in the consortium. The structural logic matters for applicants. NIH has separated tool-building from tool-validation and is paying separately for the second, which signals institutional recognition that self-reported performance claims from developing teams are not sufficient evidence for clinical AI. The Center's remit covers verification, validation, interoperability and uncertainty quantification, so the deliverable is a reproducible evaluation capability rather than a set of papers. It operates as a U54 cooperative agreement, meaning NIH staff are substantively involved and the Center must work in concert with the PRIMED-AI Logistics Center and the Data-to-Model and Model-to-Clinic award recipients. The RFA was released on 30 June 2026 with applications due 2 October 2026. For academic groups that have built credible AI evaluation methodology, particularly in radiology, imaging informatics or biostatistics, this is an unusually direct route to becoming the reference evaluator for a major federal AI health programme, and the position carries influence over how clinical AI performance gets measured well beyond the life of the award.
RFA-RM-27-015 funds a single Logistics Center as the coordinating hub of the NIH Common Fund's PRIMED-AI program, Precision Medicine with AI: Integrating Imaging with Multimodal Data. The award is a cooperative agreement, meaning substantial NIH scientific and programmatic involvement is built in rather than incidental, and it is administered by NIBIB on behalf of the Common Fund. The Center operates through three integrated cores: Administration, which runs the steering committees and develops consortium policies; Evaluation, which assesses progress across the funded portfolio; and Outreach, which maintains a web portal for sharing AI-based clinical decision support tools and facilitates engagement between researchers, clinicians and patient communities. The strategic point for applicants is that this is the only coordinating award in a multi-award program whose other components, the Data-to-Model Academic-Industrial Partnerships, Model-to-Clinic and Multi-use Frameworks Playbook RFAs, are separately competed and separately funded. The Logistics Center therefore does not generate its own AI models; it is scored on its capacity to run a consortium, set data and tool-sharing policy, and build infrastructure that makes other teams' clinical decision support tools discoverable and reusable. Applications are due by 5:00 PM local time of the applicant organization on the date specified for the relevant review cycle, with an earliest project start date of 2 October 2026 and a maximum project period of five years.
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.
Read articleOn July 22, 2026, the White House announced more than $5 billion in federal commitments for the Genesis Mission — the Department of Energy-led national initiative to fuse AI, exascale computing, and the 17 national labs into a single scientific platform. Nearly 300 projects across all 50 states were selected from a historic Request for Applications, and 15-plus agencies are now attaching funding to a set of National Science and Technology Challenges. Here is what the Genesis Mission is, how the money is structured, and the concrete on-ramps for researchers, universities, and small businesses who were not in the first cohort.
Read articleThe DOE Genesis Mission RFA closed its Phase II window on May 19. With $293.76M, 21 topics, and 99 focus areas, it is the largest single federal AI-for-science procurement in 2026. Here is what survived the cut and what comes next.
Read article