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AI and Advanced Computing Research is a grant from the Department of Energy (DOE) Office of Science that funds scientific machine learning and artificial intelligence research through the Scientific Discovery through Advanced Computing (SciDAC) program. The program supports projects aimed at sustaining U.S. leadership in AI while addressing high-priority research opportunities in fusion energy sciences and advanced scientific computing.
Total estimated program funding for one solicitation reached $21 million with approximately 7 expected awards. Eligible applicants include all domestic entities, including universities, nonprofits, and state or local governments, with the exception of Federally Funded Research and Development Center contractors and certain lobbying nonprofits. DOE national laboratories submit through a separate companion announcement.
Interested applicants should check current DOE funding opportunities for active solicitations.
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gov Maintenance Calendar Scientific Discovery through Advanced Computing: Scientific Machine Learning and Artificial Intelligence for Fusion Energy Sciences Department of Energy - Office of Science Document Type:Grants Notice Funding Opportunity Number:DE-FOA-0002224 Funding Opportunity Title:Scientific Discovery through Advanced Computing: Scientific Machine Learning and Artificial Intelligence for Fusion Energy Sciences Opportunity Category:Discretionary Opportunity Category Explanation: Funding Instrument Type:Cooperative Agreement Grant Category of Funding Activity:Science and Technology and other Research and Development Expected Number of Awards:7 Assistance Listings:81.
049 -- Office of Science Financial Assistance Program Cost Sharing or Matching Requirement:No Last Updated Date:Mar 03, 2020 Original Closing Date for Applications:Apr 30, 2020 Current Closing Date for Applications:Apr 30, 2020 Archive Date:May 30, 2020 Estimated Total Program Funding:$ 21,000,000 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:All types of domestic applicants are eligible to apply, except Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995.
DOE/NNSA National Laboratories are directed to submit applications in response to LAB 20-2224 in the PAMS website at https://pamspublic. science. energy.
gov. ## Additional Information Agency Name:Office of Science Description:The DOE SC programs in Fusion Energy Sciences (FES) and Advanced Scientific Computing Research (ASCR) invite applications under the Scientific Discovery through Advanced Computing (SciDAC) program in the area of Scientific Machine Learning and Artificial Intelligence (ML/AI) for Fusion Energy Science.
The goal of this FOA is to support research aiming to sustain and enhance the leadership position of the United States in Artificial Intelligence (AI) while addressing high-priority research opportunities identified in recent fusion community studies. More specific information about the targeted research areas and allowable collaborations between multiple institutions is included in the SUPPLEMENTARY INFORMATION section below.
A companion Program Announcement to the DOE National Laboratories (LAB 20-2224) will be posted on the SC Grants and Contracts web site at: https://science. osti. gov/grants/lab-announcements/open Link to Additional Information:[](https://www.
grants. gov/search-results-detail/325051) Grantor Contact Information:If you have difficulty accessing the full announcement electronically, please contact: #### Health & Human Services * Frequently Asked Questions ## Your session will expire in 3 minutes. To continue working, click on the "OK" button below.
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According to the current listing, eligibility includes: Universities, Nonprofits, State/local governments. Confirm the full requirements in the official notice before applying.
AI and Advanced Computing Research is funded by Department of Energy (DOE). 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.
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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