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AI and Machine Learning Research is a grant from the Department of Energy (DOE) Office of Science that funds scientific machine learning and artificial intelligence research, particularly in the area of fusion energy sciences.
The DOE's Scientific Discovery through Advanced Computing (SciDAC) program supports research to sustain U.S. leadership in AI while addressing high-priority research opportunities identified by the fusion energy community. Eligible applicants include universities, nonprofits, state and local governments, and domestic research institutions, excluding Federally Funded Research and Development Centers and certain nonprofit organizations.
Award amounts vary by solicitation. The program is administered through the DOE Office of Science, Fusion Energy Sciences and Advanced Scientific Computing Research programs. Interested applicants should check the current DOE grants portal for active funding opportunities.
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GRANTS Machine Learning, Artific...
| U.S. DOE Office of Science(SC) Machine Learning, Artificial Intelligence, and Data Resources for Fusion Energy Sciences Thursday, December 22, 2022 Submission Deadline for Pre-Applications: January 31, 2023 at 5:00 PM Eastern Time A Pre-Application is required Pre-Application Response Date: February 7, 2023 at 5:00 PM Eastern Time Submission Deadline for Applications: March 15, 2023 at 11:59 PM Eastern Time Machine Learning, Artificial Intelligence, and Data Resources for Fusion Energy Sciences Thursday, December 22, 2022 Submission Deadline for Pre-Applications: January 31, 2023 at 5:00 PM Eastern Time A Pre-Application is required Pre-Application Response Date: February 7, 2023 at 5:00 PM Eastern Time Submission Deadline for Applications: March 15, 2023 at 11:59 PM Eastern Time U.S. Department of Energy SC-43/Germantown Building 1000 Independence Ave.
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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.
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.
Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) Programs (Department of Energy) is sponsored by U.S. Department of Energy (DOE). These programs offer competitively awarded grants to small businesses for scientific excellence and technological innovation, encouraging participation by women-owned and minority-owned small businesses. The DOE supports high-quality research and development (R&D) on innovative concepts with high potential for commercialization, particularly in climate and energy efficiency sectors.
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.