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.

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.

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.

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.

Artificial Intelligence and Machine Learning Applied to Nuclear Science and Technology is a grant from the U.S. Department of Energy that funds research applying AI and machine learning techniques to advance nuclear science and technology. The program supports innovative projects that leverage AI and ML to improve nuclear energy systems, enhance safety and efficiency, and accelerate discovery in nuclear science domains. Eligible applicants typically include academic institutions, national laboratories, and private industry with relevant research capabilities. Applications are submitted through Grants.gov following the requirements outlined in the official Notice of Funding Opportunity. Award amounts and deadlines are specified in the official notice; prospective applicants should consult the NOFO for current submission requirements.

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.

Advancements in Artificial Intelligence for Science is sponsored by DOE Office of Science, Advanced Scientific Computing Research (ASCR). Funds basic computer science and applied mathematics research in the fundamentals of AI for science. Priority areas include development of foundation models for computational science, automated scientific workflows and laboratories, scientific programming and knowledge management systems, federated and privacy-preserving training for AI models, and energy-efficient AI algorithms and hardware.

Advancements in Artificial Intelligence for Science is sponsored by U.S. Department of Energy (DOE) - Office of Science (SC). This program seeks basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. It includes research on decision-support for planning, risk, and policy formulation, which could encompass AI negotiation decision support systems within a scientific context.

AI for Malicious Event Detection & Diagnosis in the Energy Sector (IIJA) — DOE SBIR Phase I Topic is sponsored by U.S. Department of Energy (DOE). A grant under the DOE's SBIR Phase I program funding small businesses developing AI technologies to detect and diagnose malicious cyber and physical events targeting energy infrastructure.

AI Infrastructure on DOE Lands Request for Information (RFI) is sponsored by U.S. Department of Energy (DOE). The DOE is seeking input to inform the possible use of DOE land for AI infrastructure development to support growing demand for data centers. This RFI aims to encourage private-public partnerships and enable the construction of AI infrastructure at select DOE sites.

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 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.

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.

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.

Advancements in Artificial Intelligence for Science is sponsored by U.S. Department of Energy (DOE) Office of Science. This program from the DOE Office of Science, Advanced Scientific Computing Research (ASCR), invites research applications for high-impact approaches in the development and use of artificial intelligence (AI) and machine learning (ML) for scientific insights from massive data generated by simulation, experiments, and observations. The focus is on basic computer science and applied mathematics research in the fundamentals of AI for science.

AI Research and Development for Workforce Training (2026) is sponsored by Department of Energy (DOE). This opportunity supports mission-aligned projects that contribute to the development of an AI-ready workforce. It aligns with DOE's efforts, in coordination with NSF, to create a vibrant training and workforce ecosystem by advancing secure, trustworthy, and equitable AI.

The DOE Genesis Mission is a $320 million initiative launched by executive order on November 24, 2025, directing the Department of Energy and its 17 national laboratories to build a shared AI-powered research platform integrating supercomputers, experimental facilities, AI systems, and massive scientific datasets. The program funds four pillars: the American Science Cloud (AmSC) for shared computing infrastructure; the Transformational AI Models Consortium (ModCon) with $30 million for collaborative AI model development; 14 projects in robotics, automated laboratories, and autonomous control of large-scale experiments; and foundational AI research awards. In February 2026, DOE released 26 Science and Technology Challenges signaling priority funding areas, including AI-driven autonomous laboratories that can run experiments without human intervention to accelerate drug discovery, materials development, and energy technology breakthroughs. The stated goal is to use AI to compress research timelines from decades to months and make American research infrastructure competitive with private-sector AI development. New funding opportunities under the Genesis Mission are being announced on a rolling basis through 2026.

AI Research and Development for Workforce Training is sponsored by Department of Energy (DOE). This grant from the Department of Energy funds innovative AI applications aimed at enhancing workforce training and development. DOE is focused on preparing a highly skilled talent pool, encompassing K-12 educators and students, undergraduate and graduate students, postdoctoral researchers, and faculty and professionals looking to add to their skillsets.