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The ASCR Leadership Computing Challenge is the DOE allocation route most often overlooked by AI researchers, because attention concentrates on INCITE. The two are complementary and the distinction is strategic. INCITE awards the largest allocations to projects with demonstrated leadership-scale readiness and runs an annual call.
ALCC exists for high-risk, high-reward work aligned with DOE mission priorities - energy, national security, climate, materials, scientific discovery - and is a better fit for AI projects that are ambitious but cannot yet show the scaling evidence INCITE reviewers expect.
ALCC allocates node-hours across DOE's leadership systems, including Frontier at Oak Ridge, Aurora and Polaris at Argonne, and Perlmutter at NERSC, giving access to some of the largest GPU fleets available to open science anywhere.
For AI work this is directly usable for large model training, large-scale inference campaigns, surrogate model development and AI-for-science pipelines that are impractical on campus clusters or prohibitive on commercial cloud. Two mechanics matter. Proposals may be multi-year, up to three years, which is unusual among compute allocation programmes and worth using where a project has a genuine multi-year arc.
And the allocation year does not align with the calendar year, so timing a proposal to a project's actual readiness requires checking the current cycle rather than assuming January. The next ALCC call is expected around November 2026.
Eligibility is broad - the programme is open to researchers regardless of whether they hold DOE funding - but the DOE mission alignment argument is the load-bearing part of any competitive proposal and should be made explicitly rather than implied.
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Or search similar grants →According to the current listing, eligibility includes: Open to researchers from universities, national laboratories, industry and other research organisations; holding existing DOE funding is not a prerequisite, though proposals must demonstrate clear alignment with Department of Energy mission priorities. ALCC specifically targets high-risk, high-reward research of national importance in areas including energy, climate, national security, materials and scientific discovery, which distinguishes it from the separate INCITE programme that prioritises demonstrated leadership-scale readiness. Awards consist of node-hour allocations on DOE leadership computing systems including Frontier at Oak Ridge Leadership Computing Facility, Aurora and Polaris at Argonne Leadership Computing Facility, and Perlmutter at NERSC, together with associated storage; no cash is disbursed. Allocations run for a one-year allocation year that does not align with the calendar year, and multi-year proposals of up to three years are accepted. Proposals must include a technical description of the computational approach, evidence of code readiness and scaling on the target architecture, a justification of the node-hours requested, and a statement of DOE mission relevance. The next call is expected around November 2026; applicants should confirm exact open and close dates through the DOE leadership computing call-for-proposals portal. Awarded projects are required to report on usage and scientific outcomes, and allocations not consumed within the allocation year are generally forfeited rather than carried forward. Confirm the full requirements in the official notice before applying.
DOE ASCR Leadership Computing Challenge ALCC for AI and Machine Learning Research on Frontier Aurora Polaris and Perlmutter is funded by U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR). 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.
Scientific Discovery through Advanced Computing (SciDAC) Institutes is sponsored by U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR). This program seeks proposals for SciDAC Institutes – Computer Science Institutes and Applied Mathematics Institutes – to collectively exemplify the expertise and capabilities needed to form innovative partnerships to advance the science and technology mission of DOE through advanced computing. The SciDAC program aims to accelerate scientific discovery through advanced computing via ASCR-funded SciDAC Institutes and SciDAC Partnerships co-funded by ASCR with other SC and DOE programs.
Accelerated Research in Quantum Computing Funding Opportunity is sponsored by U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR). This funding opportunity accelerates the development of mathematical foundations, algorithms, and software for quantum computing, aiming to progress toward a software stack that can leverage multiple quantum technologies and advance DOE's mission.
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.
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