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The DOE Genesis Mission is a landmark $293 million Request for Applications (DE-FOA-0003612) seeking interdisciplinary teams to accelerate scientific discovery using novel AI models and frameworks.
Launched under President Trump's executive order on November 24, 2025, the Genesis Mission directs DOE and its 17 national laboratories to build a shared research platform integrating supercomputers, experimental facilities, AI systems, and massive scientific datasets.
The RFA addresses over 20 national challenges spanning advanced manufacturing, biotechnology, critical materials, nuclear fission and fusion, quantum information science, semiconductors, discovery science, and energy systems. The initiative includes four major components: the American Science Cloud (AmSC), the Transformational AI Models Consortium (ModCon), robotics and automation projects, and foundational AI awards.
Phase I provides $500K-$750K for 9-month feasibility studies, while Phase II funds $6M-$16M for 3-year full-scale AI research and development. Phase I applications and Phase II letters of intent are due April 28, 2026, with Phase II full applications due May 19, 2026.
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Or search similar grants →According to the current listing, eligibility includes: Open to interdisciplinary teams from DOE National Laboratories, U.S. industry, academia, and other research organizations. The grants.gov listing indicates unrestricted eligibility. Teams are encouraged to leverage DOE/NNSA national laboratory resources, scientific data, and computing facilities. Confirm the full requirements in the official notice before applying.
The current listing shows $293 million total. Phase I awards: $500,000-$750,000 for 9-month projects. Phase II awards: $6,000,000-$16,000,000 for 3-year projects. Teams may apply directly to either phase. Verify award ceilings, matching requirements, and allowable costs in the official notice.
The published deadline was April 28, 2026, which has passed. Check the official notice for any future application windows before investing time in a proposal.
DOE Genesis Mission Transforming Science and Energy with AI Request for Applications is funded by U.S. Department of Energy Office of Science. 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 FY2026 Department of Defense Multidisciplinary University Research Initiative (MURI) program supports basic research in science and engineering at U.S. institutions of higher education, with emphasis on multidisciplinary research where more than one traditional discipline interacts. The Army, Navy, and Air Force basic research offices are seeking applications across 22 topic areas including artificial intelligence and autonomy, information sensing and processing, and systems manipulation. MURI grants typically provide $1.25 million to $1.5 million per year for three years with option to extend two additional years. Approximately $170 million in total funding is available annually across all topics. The program is administered through the Office of Naval Research (ONR), Army Research Office (ARO), and Air Force Office of Scientific Research (AFOSR).
The NSF Convergence Accelerator is a grant from the National Science Foundation (NSF) that funds multidisciplinary teams working to solve national-scale societal challenges through convergence research and innovation. Launched in 2019 under NSF's Directorate for Technology, Innovation and Partnerships, the program operates in two phases: Phase 1 awards are up to $750,000, with successful teams advancing to larger Phase 2 awards. Eligible applicants include institutions of higher education and nonprofit or for-profit organizations. Track I and Track K focus on specific high-priority topics announced each funding cycle. The next deadline is June 15, 2026. Proposals must comply with updated NSF research security policies effective July 2025.
The USDA Specialty Crop Research Initiative (SCRI) 2026 provides $175 million in annual funding for research addressing the needs of the specialty crop industry, with a groundbreaking new $20 million set-aside for mechanization and automation research. For the first time, the SCRI Notice of Funding Opportunity explicitly funds AI-driven automation technologies to help specialty crop growers reduce labor costs, which have been among the most persistent financial pressures in fruit, vegetable, tree nut, and horticulture production. Priority areas include data-driven predictive tools using artificial intelligence, robotics, sensor technologies, precision agriculture, improved mechanization technologies that delay or inhibit ripening, decision support systems, management of quarantine pests, and cybersecurity for agricultural systems. The funding increase was enabled by the Working Families Tax Cuts legislation, more than doubling the previous SCRI budget from $80 million to $175 million per year. Applications are due by 5:00 PM Eastern Time on June 15, 2026. This represents the largest federal investment specifically targeting AI and automation in specialty crop agriculture.
The Energy Department's flagship Early Career Research Program is funded at $145M for FY2026 — $79M in current-year dollars, the rest contingent on FY27 appropriations. Full applications are due June 2 from the ~150 researchers DOE pre-cleared in March. Here's what the program rewards, why this year's announcement leans hard into Executive Order 14303 on Gold Standard Science, what untenured PIs at academic institutions vs. national labs should expect, and how to position for the FY27 pre-application gate next March.
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 articleDOE's Genesis Mission pairs 24 tech giants — Anthropic, Google, OpenAI, NVIDIA — with national labs to apply AI to 26 grand challenges. Phase II applications close May 19.
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