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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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Based on current listing details, eligibility includes: Universities, Nonprofits, State/local governments Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Varies 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.
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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.
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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.
Manufacturing USA Institute — AI for Resilient Manufacturing is sponsored by National Institute of Standards and Technology (NIST). This funding opportunity supports the establishment and operation of a new Manufacturing USA institute focused on utilizing artificial intelligence (AI) to enhance the resilience of U.S. manufacturers. The institute will develop cost-effective, AI-based advanced manufacturing capabilities, advance technology development, foster a skilled workforce, and develop shared infrastructure and facilities.