DOE AI Grants

DOE Artificial Intelligence (AI) Program / Advanced Scientific Computing Research (ASCR) is sponsored by U.S. Department of Energy (DOE) Office of Science. This program supports mission-aligned projects and measurable outcomes related to the co-design of learning systems and AI environments that significantly advance the field of AI for public benefit within DOE's Congressionally-authorized mission-space.

The Department of Energy Genesis Mission is a presidential executive order establishing a national effort to accelerate AI-driven scientific discovery. Led by the Secretary of Energy, the Mission creates the American Science and Security Platform, integrating DOE national laboratory supercomputers, secure cloud-based AI environments, and federally curated scientific datasets to train foundation models and develop AI agents for automated research. The initiative targets at least 20 national science and technology challenges spanning advanced manufacturing, critical materials, nuclear energy, quantum information science, and semiconductors. The Mission facilitates interagency coordination, public-private partnerships through cooperative research agreements, and competitive fellowship programs for researchers at national laboratories. Annual reporting to the President tracks platform capabilities, research outcomes, and technology commercialization progress across participating federal agencies and external partners.

This request for applications, issued as DE-FOA-0003612 by the DOE Office of Science, is the main competitive vehicle of the Genesis Mission, the Department of Energy's push to use artificial intelligence to accelerate scientific discovery across its mission space. It anticipates 293.76 million US dollars in awards against twenty-one named national challenge areas, including reenvisioning advanced manufacturing and industrial productivity, scaling the biotechnology revolution, securing America's critical minerals supply, delivering nuclear energy that is faster, safer and cheaper, achieving AI-driven autonomous laboratories and designing materials with predictable functionality, alongside further topics spanning quantum information science, semiconductors, discovery science and energy systems. The two-phase design funds a nine-month Phase I at 500,000 to 750,000 dollars to establish feasibility, then a three-year Phase II at 6 to 15 million dollars to build and deploy. The mandatory team composition is the defining feature: Phase I teams must include at least two of DOE or NNSA national laboratories, industry, or higher education and non-profit organisations, and Phase II teams must include at least one national laboratory partner and at least one industry partner, with higher education participation strongly encouraged. That requirement makes this a partnership instrument rather than a single-investigator grant, and it routes access to DOE's data, computing facilities and experimental infrastructure through the laboratory partner. Phase I applications and Phase II letters of intent were due 28 April 2026; full Phase II applications are due 17 December 2026.

Genesis Mission is sponsored by U.S. Department of Energy (DOE), National Institutes of Health (NIH), and other Federal Agencies. The Genesis Mission is a national effort to harness artificial intelligence and advanced computing to accelerate American science and secure U. S. leadership in key technologies. It aims to build a national AI-for-science ecosystem and advance new partnerships.

DOE AI programs (Genesis Mission) is sponsored by U.S. Department of Energy (DOE). The DOE's Genesis Mission provides funding for interdisciplinary teams using novel AI models and frameworks to address national scientific challenges, including advancing the science of AI risk and building a secure and reliable AI ecosystem through adversarial testing and AI te.

DOE AI for Science—Advancements in AI for Scientific Research is sponsored by U.S. Department of Energy (DOE). This opportunity supports mission-aligned projects and measurable outcomes in AI for scientific research. The DOE is committed to advancing the science of AI risk and building a secure and reliable AI ecosystem, including adversarial testing and AI testbeds.

AI and Machine Learning Research (DOE Office of Science) (The Genesis Mission) is sponsored by U.S. Department of Energy (DOE) Office of Science. This opportunity supports mission-aligned projects that leverage novel artificial intelligence models and frameworks to accelerate scientific discovery and research and development (R&D) workflows. It focuses on tackling the nation's most complex science and technology challenges using AI for science.

DOE AI and Advanced Computing for Science Program is a grant from the Department of Energy Office of Science that funds small and large team applications developing AI solutions across critical science and energy domains. The Genesis Mission program supports work in advanced manufacturing, biotechnology, critical materials, nuclear fission and fusion, quantum information science, semiconductors and microelectronics, and energy discovery science. Phase I small team awards range from $200,000 to $2 million, with larger Phase II team awards available. Eligible applicants include universities, national laboratories, and nonprofit organizations.

AI for Science Funding Opportunities is sponsored by Department of Energy (DOE) Office of Science. The Genesis Mission: Transforming Science and Energy with AI is a grant from the U. S. Department of Energy Office of Science that funds small and large teams applying AI to accelerate scientific and energy research.

AI for Health Research Initiative is sponsored by Department of Energy (DOE). This initiative funds interdisciplinary research projects that apply AI to energy-related health challenges, such as environmental health impacts and energy-efficient healthcare systems. It aims to accelerate discovery with AI by combining DOE's supercomputing power, unique scientific data, and AI capabilities.

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.

Office of Science EXPRESS funding opportunity (AI for science, including energy-efficient AI algorithms and hardware) is sponsored by U.S. Department of Energy (DOE) Office of Science. This funding opportunity supports the application of AI for science, with topics covering energy-efficient AI algorithms and hardware for science. It also includes ultra-energy-efficient “neuromorphic” computing for AI.

Frontiers in AI for Science, Security and Technology (FASST) – DOE-GENESIS Mission is sponsored by U.S. Department of Energy (DOE). This program funds the development of large-scale foundation models for scientific discovery, with a key initiative being the “Genesis Mission,” which focuses on deploying autonomous laboratories and AI-driven workflows for advanced nuclear, grid, and energy materials discovery.

Artificial Intelligence and Decision Support for Complex Systems (part of DOE's advanced research in ML and AI initiative) is sponsored by U.S. Department of Energy (DOE). Funding for advanced research in machine learning and artificial intelligence for the management of complex systems, focusing on basic ML and AI research for "decision support." Potential applications include cybersecurity, power grid resilience, and other complex processes.

DOE AI and Advanced Computing Research ("The Genesis Mission: Transforming Science and Energy with AI") is sponsored by U.S. Department of Energy (DOE). This RFA invites interdisciplinary teams to use novel AI models and frameworks to address national challenges in advanced manufacturing, biotechnology, critical materials, nuclear energy, and quantum information science.

Office of Science Financial Assistance Program (Advancements in Artificial Intelligence for Science) is sponsored by U.S. Department of Energy (DOE) Office of Science. The DOE Office of Science solicits research proposals for basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science, with an aim to accelerate progress, increase transparency, and open new areas of exploration across …

DOE SBIR/STTR for Genesis Mission (AI focus) is sponsored by U.S. Department of Energy (DOE) Office of Technology Commercialization (OTC). This award opportunity through DOE's Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs aligns with the Genesis Mission's goals to advance American leadership in artificial intelligence (AI).

AI in Energy Research is a grant from the Department of Energy (DOE) that funds innovative research applying artificial intelligence to energy science challenges. The Genesis Mission initiative solicits FY26 Phase I small team and Phase II large team applications across topic areas including advanced manufacturing, biotechnology, critical materials, nuclear fission, nuclear fusion, quantum information science, semiconductors and microelectronics, and discovery science. DOE plans to continue amending the program in FY27 with updated topics. Eligible applicants include universities, national laboratories, and non-profit organizations.

DOE AI for Science—Advancements in AI for Scientific Research (2026) is a grant from the U.S. Department of Energy (DOE) that funds research leveraging artificial intelligence to tackle national science and technology challenges in energy, discovery science, and national security. The Genesis Mission initiative unites DOE national laboratories, industry, and academia in building an integrated AI platform connecting supercomputers, experimental facilities, and unique datasets. In March 2026, DOE announced million in funding to support Genesis Mission science and technology challenges across 26 priority areas. Eligible applicants include universities, national laboratories, and industry partners responding to the Request for Applications posted by DOE's Office of the Under Secretary for Science.

AI Research Grants (various programs) is sponsored by Various federal agencies and private foundations (e.g., NSF, DOE, Schmidt Sciences, Chan Zuckerberg Initiative, Sloan Foundation). This encompasses various grants funding artificial intelligence and AI-for-science research across federal agencies and private foundations. AI is a major funding priority for 2026, with initiatives like the AI Institutes network and dedicated AI offices.

AI and Advanced Computing Research is sponsored by U.S. Department of Energy (DOE). This grant supports research in AI applications for energy systems, including smart grids and energy efficiency. While broad, it directly aligns with the use of AI in energy, which can encompass geothermal applications for optimization, resource management, and grid integration.

Advancements in Artificial Intelligence for Science is sponsored by Department of Energy (DOE) Office of Science (SC) Advanced Scientific Computing Research (ASCR). The DOE SC program in Advanced Scientific Computing Research (ASCR) announces its interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science.

The DOE INCITE program awards large allocations of leadership-class computing time (typically 500,000 to over 1,000,000 node-hours) on the Frontier and Aurora exascale supercomputers to researchers worldwide pursuing high-impact, computationally intensive AI and scientific research. The annual call typically opens in spring, and awards support both academic and industry investigators.