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The Department of Energy applies AI across its full mission portfolio — from fundamental physics and materials science to grid operations and nuclear safety. The Office of Science's Advanced Scientific Computing Research (ASCR) program funds AI/ML research at the intersection of high-performance computing and scientific discovery, with access to DOE's exascale computing infrastructure at national laboratories.
ARPA-E periodically issues AI-focused programs for energy technology breakthroughs, and EERE integrates AI into applied energy R&D across solar, wind, buildings, vehicles, and manufacturing. The Genesis Mission and related initiatives use AI for autonomous scientific experimentation at DOE user facilities.
DOE AI proposals benefit from partnerships with national laboratories, which provide access to computing resources, experimental facilities, and domain expertise. SBIR/STTR grants through DOE fund AI startups working on energy-related applications.
ASCR AI/ML Research
Advanced Scientific Computing Research grants for AI applied to scientific discovery, with access to DOE supercomputing resources at national laboratories.
Browse grants →ARPA-E AI Programs
High-risk, high-reward AI programs for transformational energy technologies. Awards $500K-$10M with aggressive performance milestones.
Browse grants →EERE AI Integration
Applied R&D grants incorporating AI into clean energy deployment — solar forecasting, grid management, building optimization, and advanced manufacturing.
DOE SBIR AI/Computing
Small business grants for AI and advanced computing applications in energy, science, and national security.
Browse grants →6 matching grants
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.
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.
Advancements in Artificial Intelligence for Science is sponsored by U.S. Department of Energy (DOE) Office of Science (SC). The DOE SC program in Advanced Scientific Computing Research (ASCR) seeks basic computer science and applied mathematics research in the fundamentals of AI for science. This includes the development of foundation models for computational science, automated scientific workflows, scientific programming and knowledge management systems, federated and privacy-preserving training for AI models, and energy-efficient AI algorithms and hardware for science.
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.
Advancements in Artificial Intelligence for Science is sponsored by U.S. Department of Energy (DOE) SC program in Advanced Scientific Computing Research (ASCR). This program announces interest in basic computer science and applied mathematics research in the fundamentals of Artificial Intelligence (AI) for science. It includes research to address national priorities requiring AI innovations in capabilities such as monitoring and predicting real-world anomalies and extreme events, adaptive strategies to control complex systems, and decision-support for planning, risk, and policy formulation.
AI for Malicious Event Detection & Diagnosis in the Energy Sector is a grant from the U.S. Department of Energy under its SBIR Phase I program that funds small businesses developing artificial intelligence technologies to detect and diagnose malicious cyber and physical events targeting energy infrastructure. Awards of up to $200,000 for 12 months support early-stage research and development into innovative detection, diagnosis, and response capabilities for the energy sector. The DOE SBIR/STTR programs annually award approximately 400 Phase I and 200 Phase II grants totaling more than $300 million across energy production, energy use, fundamental energy sciences, environmental management, and defense nuclear nonproliferation. Eligible applicants must qualify as U.S. small business concerns with projects demonstrating commercialization potential.
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