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FOA DE-FOA-0003458 (not DE-FOA-0003266 as stored) had LOI deadline Nov 14, 2024 and full application deadline Jan 14, 2025 — both past. The stored FOA number DE-FOA-0003266 does not match the one found on the page.
Artificial Intelligence and Machine Learning Applied to Nuclear Physics (DE-FOA-0003266) is sponsored by DOE Office of Science, Nuclear Physics (NP). This NOFO (Notice of Funding Opportunity) from DOE SC NP focuses on R&D efforts in AI and ML for autonomous optimization and control of accelerators and detectors relevant to nuclear physics facilities and instrumentation, as well as AI/ML applications to advance nuclear physics…
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Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology | Department of Energy Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology This announcement builds on NP’s efforts to address technical challenges in theory, simulations, control, data acquisition, and data analysis.
Notice of Funding Opportunity (NOFO) Number: DE-FOA-0003458 Total Estimated Funding: $22 Million Deadline for Letter of Intent (required): Letters of Intent must be submitted by an authorized institutional representative.
November 14, 2024 at 5:00pm ET Deadline for Applications: January 14, 2025 at 11:59pm ET The U.S. Department of Energy’s Office of Science, under the Nuclear Physics (NP) program, is issuing notice of funding opportunity (NOFO) 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.
The approach for this NOFO is to support the development and application of AI/ML in all research areas of NP to expand and accelerate scientific reach and discovery.
Opportunities include AI to address challenges in autonomous control, efficiency of operation of accelerators and scientific instruments, digital twinning for future colliders, efficient extraction of critical information from large complex data sets and enabling data-driven discovery of new physics.
This announcement builds on NP’s efforts to address technical challenges in theory, simulations, control, data acquisition, and data analysis. AI methods and techniques promise to address these challenges and shorten the timeline for experimental and computational discovery. Please see the funding opportunity for agency contacts, eligibility, and more details.
DOE Forges Collaborative Partnerships With the Osage and Navajo Nations to Reduce Methane Emissions and other Environmental Impacts From Undocumented Oil and Gas Wells View Previous Press Release DOE Announces $58 Million to Tackle Climate Change by Removing Carbon from the Atmosphere Particle/High Energy Physics
According to the current listing, eligibility includes: Non-DOE/NNSA FFRDCs are eligible to submit applications as a lead organization or as a team member, and may be proposed as subrecipients. DOE/NNSA National Laboratories are also eligible. Confirm the full requirements in the official notice before applying.
Artificial Intelligence and Machine Learning Applied to Nuclear Physics (DE-FOA-0003266) is funded by DOE Office of Science, Nuclear Physics (NP). 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.
MGPV Travel Grant is sponsored by Geological Society of America (GSA), Mineralogy, Geochemistry, Petrology, Volcanology Division. MGPV Travel grants support student travel to the annual GSA meeting. Applications are restricted to active graduate or undergraduate students who are the presenting authors of an accepted abstract at the annual GSA meeting.
Research Opportunities in Space and Earth Science (ROSES) - 2025: A.4 Rapid Response and Novel Research in Earth Science is sponsored by National Aeronautics and Space Administration (NASA) Science Mission Directorate (SMD). This omnibus research funding opportunity includes various program elements, with rolling submissions for Earth Science research through August 2026. Proposers to Earth Science using the NASA Center for Climate Simulation high-end computing facility must include specific budget details.
The Genesis Mission is pouring $320 million into AI while nuclear physics grants fall 18% and a program merger threatens to subsume an entire discipline. What researchers outside AI need to know.
Read articleDOE's FY2026 Office of Science open-call solicitation (DE-FOA-0003600) makes roughly $500 million available across about 500 awards of $50,000 to $5 million — across computing, physics, chemistry, biology, fusion, and isotopes — with a rolling window that stays open through September 30, 2026. Unlike a targeted NOFO, it lets investigators propose almost anything within the agency's mission. Here is how the open call actually works, why it is chronically underused, and how to write into it.
Read articleThe Trump administration committed $5B and 278 projects across 15+ agencies to the Genesis Mission. Here's the structure — and how to position for the next wave.
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