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Artificial Intelligence Research for Science is a grant program from the U.S. Department of Energy Office of Science that funds research applying artificial intelligence and machine learning to scientific discovery.
The program leverages DOE's high-performance computing infrastructure and vast experimental data sets—spanning high energy physics, nuclear and plasma physics, x-ray and neutron characterization, and bioenergy genomics—to advance AI-driven insights. Eligible applicants include academic institutions, non-profit organizations, and for-profit entities. Awards range from $150,000 to $1,500,000, with a deadline of May 20, 2026.
The initiative is part of a broader national investment exceeding $1 billion in AI Institutes and Quantum Information Science Research Centers announced jointly with the White House and NSF.
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Search similar grants →Extracted from the official opportunity page/RFP to help you evaluate fit faster.
AI Artificial Intelligence for S... | U.S. DOE Office of Science(SC) Artificial Intelligence for Science The White House Office of Technology Policy, National Science Foundation and Department of Energy announce over $1 billion in awards for Artificial Intelligence Institutes and Quantum Information Science Research Centers.
National Quantum Initiative Website From internet search engines to autonomous vehicles, artificial intelligence (AI)—once mostly the stuff of science fiction—is becoming an increasingly familiar and practical feature of everyday life.
Two factors are driving interest in AI across the globe: the vast accumulation of data in our increasingly digitized society, and the growing capability and speed of today’s fastest computers for processing that data. AI, including machine learning (ML), is an ideal tool for deriving new insights from analysis of very large data sets.
AI becomes more useful as the speed and computational power of today’s supercomputers grows. DOE stewards some of the fastest computers in the country. These high-performance computers along with the Exascale Computing Program will help build the hardware and software needed to develop and power the future generations of AI.
In addition, vast data sets are generated at SC experimental user facilities – including data for high energy, nuclear and plasma physics, characterization of matter with x-rays and neutrons, and the genomic analysis for bioenergy.
To maximize the impact of data, DOE supports development of new methods and algorithms that increase the reliability (for what type and quantity of data do we expect results), robustness (how might slightly different data change the results), and rigor (have the assumptions and underlying theories been defined and validated) of machine learning algorithm and methods to support their use in scientific research.
Individual research programs focus on enhancing the analysis of the data for their disciplines to maximize the scientific impact of data.
The Office of Science has a unique combination of capabilities to lead the nation in AI and ML research and development (R&D) for science: A broad mission that presents new and unique research problems on a national and global scale that can use data science for innovations in fundamental science and energy research Sources of massive and/or complex science and engineering data from sensors, instruments, SC’s national user facilities, and large-scale simulations World-class high-performance computing (HPC) infrastructure, capable of world-leading AI research World-class high-performance network infrastructure capable of integrating computing resources and data assets An exceptional workforce with large numbers of domain scientists, computer scientists, and mathematicians currently engaged in AI and related fields.
Latest Topical Funding Opportunity Awards Department of Energy Announces $78. 8 Million for Scientific Discovery through Advanced Computing (SciDAC) Institutes Department of Energy Announces $16.
6 Million for Research on Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology Department of Energy Announces $87 Million for AI investments Leaving Office of Science The link you have requested will take you to a website outside the Office of Science. Please click the following link to continue: Thank you for visiting our site. We hope your visit was informative and enjoyable.
Based on current listing details, eligibility includes: Academic institutions, non-profit organizations, and for-profit entities. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $150,000 - $1,500,000 Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is May 20, 2026. 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.