Artificial Intelligence Research and Development (AI R&D) is a program from the U.S. Department of Energy's Office of Science that funds AI and machine learning research to advance scientific discovery across energy, physics, bioenergy, and other fields. The program leverages DOE's world-class supercomputers, exascale computing infrastructure, and massive scientific datasets from national user facilities to develop more reliable, robust, and rigorous AI and ML algorithms. Recent awards have included $87 million in AI investments, $78.8 million for Scientific Discovery through Advanced Computing (SciDAC) Institutes, and $16.6 million for AI and ML applied to nuclear science. The program is part of a broader White House initiative that has invested over $1 billion in AI Institutes and Quantum Information Science Research Centers. Eligible partners include universities, national laboratories, and research institutions.

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.

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 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.

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.

The U.S. Department of Energy Office of Science, through the Office of Advanced Scientific Computing Research (ASCR), announced $68 million in funding for Advancements in Artificial Intelligence for Science across 11 multi-institution projects (43 individual awards). The initiative supports development of foundation models trained on broad scientific data for wide-ranging research applications, privacy-preserving and distributed machine-learning methods, energy-efficient AI algorithms and hardware for scientific research, models for computational science and laboratory workflow automation, and research on how foundation models improve with increased scale and complexity. With FY2024 funding of $20 million and additional funding contingent on appropriations, projects run up to three years. The program was competitively selected through peer review under DOE Funding Opportunity Announcement DE-FOA-0003264. Applications span climate modeling, materials science, high-energy physics, biological research, and other DOE mission areas where AI can accelerate scientific discovery and improve the efficiency of large-scale experimental and computational facilities.

The Department of Energy SBIR/STTR program provides non-dilutive funding to small businesses developing innovative technologies aligned with DOE's mission areas, including artificial intelligence and machine learning for energy, environmental science, high-energy physics, nuclear physics, fusion energy, and advanced scientific computing. Phase I awards provide up to approximately $314,363 for feasibility studies, and Phase II awards provide up to approximately $2,095,748 for full R&D. DOE issues multiple topic releases per year covering AI applications across its 13 program offices, including the Office of Science, ARPA-E, Office of Energy Efficiency and Renewable Energy, and Office of Nuclear Energy. Topics frequently include AI/ML for materials discovery, autonomous experimental systems, computational modeling, grid optimization, and scientific data analysis. The program operates on a regular cycle with Phase I topics released twice yearly and Phase II applications accepted annually.

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 Research and Development for National Security is a program from the Department of Defense (DoD) that funds research into artificial intelligence technologies and applications relevant to national security, military capability, and defense. The DoD's National Security Education Program and related research offices support university and institutional research advancing AI capabilities to deter conflict and protect national interests. Projects may involve machine learning, autonomous systems, cybersecurity AI, and other defense-relevant AI domains. Eligible applicants are universities, non-profit organizations, and other research institutions. Specific award amounts are not listed. No current deadline is published; applicants should monitor Grants.gov for active DoD AI research solicitations.