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Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology is sponsored by U.S. Department of Energy (DOE). Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology is a grant from the U. S.
Department of Energy that funds research applying AI and machine learning techniques to advance nuclear science and technology.
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## View Grant Opportunity Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology Department of Energy - Office of Science Document Type:Grants Notice Funding Opportunity Number:DE-FOA-0003458 Funding Opportunity Title:Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology Opportunity Category:Discretionary Opportunity Category Explanation: Funding Instrument Type:Grant Other Category of Funding Activity:Science and Technology and other Research and Development Expected Number of Awards: Assistance Listings:81.
049 -- Office of Science Financial Assistance Program Cost Sharing or Matching Requirement:No Last Updated Date:Oct 15, 2024 Original Closing Date for Applications:Jan 14, 2025 Current Closing Date for Applications:Jan 14, 2025 Archive Date:Feb 13, 2025 Estimated Total Program Funding: Eligible Applicants:Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility" Additional Information on Eligibility: ## Additional Information Agency Name:Office of Science Description:The DOE SC program in Nuclear Physics (NP) hereby announces its interest in receiving applications for research and development (R&D) efforts directed at artificial intelligence (AI) and machine learning (ML) for autonomous optimization and control of accelerators and detectors of relevance to current or next generation NP accelerator facilities and scientific instrumentation, as well as applications applying AI/ML to advance nuclear physics computations Link to Additional Information:[](https://www.
grants. gov/search-results-detail/356713) Grantor Contact Information:If you have difficulty accessing the full announcement electronically, please contact: Dr. Manouchehr Farkhondeh
According to the current listing, eligibility includes: See official notice; typically open to academic institutions, national laboratories, and private industry. Confirm the full requirements in the official notice before applying.
Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology is funded by U.S. Department of Energy (DOE). Verify program details on the funder's official page before applying.
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NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
CalSEED Concept Award is a grant from the California Energy Commission that provides $150,000 in funding to early-stage clean energy innovators in California. The program targets individuals, businesses, and nonprofits developing hardware, software, or integrated solutions at Technology Readiness Levels 2-4. Eligible technology areas rotate each cycle and have included battery recycling and reuse, long-duration energy storage, medium- and heavy-duty vehicle electrification, industrial electrification, and advanced EV charging. Applicants must be located in California, have under $1 million in private funding, and propose innovations that benefit California ratepayers. Concept Award winners also receive professional development resources and access to accelerator programs, and may compete for a subsequent $450,000 Prototype Award.
NIST SBIR Phase I - Advanced Manufacturing and Robotics is sponsored by National Institute of Standards and Technology. NIST SBIR Phase I - Advanced Manufacturing and Robotics is a grant from the National Institute of Standards and Technology (NIST) that funds small businesses with innovative research and technology ideas in advanced manufacturing and robotics.
On June 2, 2026, the Department of Energy's Office of Critical Minerals and Energy Innovation selected two demonstration-scale facilities — Phoenix Tailings (with MIT and the University of Minnesota) for $66 million, and the Colorado School of Mines (with ElementUSA, PNNL, Principal Mineral, and Rare Earth Technologies Inc.) for the balance — under the Rare Earth Elements Demonstration Facility Program. Both projects pull rare earths from industrial waste — red mud at the Gramercy refinery in Louisiana, and a mix of mine and refining tailings elsewhere. Here is what the selections tell researchers, small businesses, and downstream magnet customers about where DOE thinks the chokepoint actually is, and what to do before the next demonstration-scale solicitation opens.
Read articleThe 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 articleDOE's Community Microgrid Assistance Partnership is offering $200K-$575K project awards plus 24 months of national-lab technical support for rural and tribal communities under 10,000 people. July 2 deadline.
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