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The ASCR Leadership Computing Challenge (ALCC) provides allocations of leadership-class compute time on Department of Energy supercomputers — Aurora at Argonne, Frontier at Oak Ridge, and Perlmutter at NERSC — for high-risk, high-payoff research aligned with DOE mission areas including AI for science, foundation model training, climate AI, materials AI, and computational discovery.
ALCC complements the larger INCITE program with a focus on DOE mission-aligned research and accepts proposals targeting both proof-of-concept AI research and production-scale AI training. The program now accepts multi-year proposals up to three years, providing greater stability for long-running AI training campaigns.
Recent ALCC cycle (closed February 27, 2026) prioritized AI/ML for energy security, AI for materials and chemistry discovery, foundation models for scientific applications, and AI-coupled simulation workflows. Next call expected to open in November 2026 for the 2027-2028 allocation year. Awards begin July 1 each year.
ALCC eligibility extends beyond traditional DOE-funded research, making it accessible to industry, university, and nonprofit AI researchers with mission-relevant projects.
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Or search similar grants →According to the current listing, eligibility includes: Open to researchers at U.S. and international universities, industry, national laboratories, and nonprofits with research aligned to DOE mission areas (energy, materials, biology, climate, AI for science). No prior DOE funding required. PI must demonstrate computational readiness and ability to scale workloads to leadership-class systems. Industry applicants welcomed for non-proprietary AI research with broad scientific impact. Confirm the full requirements in the official notice before applying.
The current listing shows multi-year ALCC allocations of typically 100,000 to 500,000 node-hours on DOE leadership computing systems (Aurora, Frontier, Perlmutter), valued at approximately $500,000 to $5 million USD in compute resources per allocation. New: accepts multi-year proposals up to three years. Verify award ceilings, matching requirements, and allowable costs in the official notice.
DOE ASCR Leadership Computing Challenge ALCC Allocations for AI Research is funded by U.S. Department of Energy Office of 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.
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.
The DOE Genesis Mission offers $293M for AI-driven research across 20+ fields from quantum science to nuclear energy. Phase I applications due April 28, 2026.
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