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The U.S. Department of Energy Office of Science, through the Office of Advanced Scientific Computing Research (ASCR), announced $68 million in funding for Advancements in Artificial Intelligence for Science across 11 multi-institution projects (43 individual awards).
The initiative supports development of foundation models trained on broad scientific data for wide-ranging research applications, privacy-preserving and distributed machine-learning methods, energy-efficient AI algorithms and hardware for scientific research, models for computational science and laboratory workflow automation, and research on how foundation models improve with increased scale and complexity.
With FY2024 funding of $20 million and additional funding contingent on appropriations, projects run up to three years. The program was competitively selected through peer review under DOE Funding Opportunity Announcement DE-FOA-0003264.
Applications span climate modeling, materials science, high-energy physics, biological research, and other DOE mission areas where AI can accelerate scientific discovery and improve the efficiency of large-scale experimental and computational facilities.
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Or search similar grants →According to the current listing, eligibility includes: Multi-institution collaborative teams from universities, national laboratories, nonprofit organizations, and for-profit entities. Projects selected through competitive peer review via DOE Funding Opportunity Announcement process. Confirm the full requirements in the official notice before applying.
DOE Advancements in Artificial Intelligence for Science is funded by Department of Energy. 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.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
The NSF Computer and Information Science and Engineering: Future Computing Research (Future CoRe) program (NSF 25-543) supports foundational computing research and education with a strong emphasis on AI and machine learning. The program funds research that advances the foundations of computing including AI/ML theory, algorithms, systems, and applications. Future CoRe supports small to medium-sized research projects that can have significant impact on computing foundations. The program has target dates of February 5, 2026 and September 10, 2026 for proposal submissions (note: these are target dates, not deadlines, meaning proposals may be submitted at any time but will be reviewed in batches around these dates). Investigators may not serve as PI, co-PI, or Senior/Key Personnel on more than two proposals submitted within any consecutive 12-month period across all Future CoRe programs. This is one of NSF's primary mechanisms for funding fundamental AI and machine learning research at U.S. academic institutions, covering areas such as machine learning theory, natural language processing, computer vision, robotics foundations, and human-AI interaction.
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.
DE-FOA-0003600 is the DOE Office of Science's FY 2026 open, rolling solicitation for financial assistance, providing roughly $500 million across seven program areas: Advanced Scientific Computing Research, Basic Energy Sciences, Biological and Environmental Research, Fusion Energy Sciences, High Energy Physics, Nuclear Physics, and Isotope R&D and Production. AI and machine learning research is supported directly through Advanced Scientific Computing Research, while Biological and Environmental Research funds atmospheric process research, environmental systems process research, and earth-energy systems modeling — making this a major channel for AI-enhanced climate and earth system modeling work. DOE anticipates 200 to 350 new awards ranging from $5,000 to $5 million each, with project periods from six months to five years. The FOA opened September 30, 2025 and accepts applications on a rolling basis through the end of FY 2026.
On September 21, 2026 DOE selected 21 projects under DE-FOA-0003472 — five EGS field tests and 16 exploration wells — for up to $99 million of a $171.5 million authorization. The solicitation is structured to reopen for up to 72 months on roughly annual cycles. Here is how to position for the next one.
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Read articleThe DOE Quantum Genesis Q Competition (DE-FOA-0003657) posted September 17, 2026 with an October 19 deadline. Phase I pays $250,000 then $1.25M on milestones; Phase II is a $100M pool plus two $50M bonus pools at 150 and 200 logical qubits. It is an Other Transaction Agreement, not a grant.
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