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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. The program supports innovative projects that leverage AI and ML to improve nuclear energy systems, enhance safety and efficiency, and accelerate discovery in nuclear science domains.
Eligible applicants typically include academic institutions, national laboratories, and private industry with relevant research capabilities. Applications are submitted through Grants. gov following the requirements outlined in the official Notice of Funding Opportunity.
Award amounts and deadlines are specified in the official notice; prospective applicants should consult the NOFO for current submission requirements.
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gov Maintenance Calendar 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 manouchehr. farkhondeh@science.
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Based on current listing details, eligibility includes: See official notice; typically open to academic institutions, national laboratories, and private industry. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates See official notice Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
Scientific Discovery through Advanced Computing (SciDAC) Institutes is sponsored by U.S. Department of Energy (DOE) Office of Science, Advanced Scientific Computing Research (ASCR). This program supports scientific discovery through advanced computing. While the specific call details for new applications are not explicitly stated as open with a deadline, the program is ongoing and represents a significant funding opportunity for scientific computing research.
Research on Circular Economy, Smart Manufacturing, and Energy-Efficient Microelectronics is sponsored by U.S. Department of Energy (DOE) Advanced Materials & Manufacturing Technologies Office (AMMTO). This funding opportunity supports innovative technology R&D across the manufacturing sector with a focus on circular economy, smart manufacturing, and energy-efficient microelectronics. While the stated deadline for full applications has passed, AMMTO frequently issues similar solicitations, and this highlights a relevant area of interest for the DOE.
AWS Imagine Grant program - Momentum to Modernize Award is sponsored by Amazon Web Services (AWS). This award provides funding for transformational infrastructure projects, helping nonprofit organizations enhance their core mission operations with technology. This includes foundational technology projects, such as migrating servers to the cloud and modernizing new and existing applications.