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Find similar grantsAI and Data Science for Energy Efficiency is sponsored by Department of Energy (DOE). This grant supports AI and data science projects aimed at improving energy efficiency, including interpretability aspects. It focuses on applying modern data science approaches (artificial intelligence, machine learning, graph theory, uncertainty quantification, etc.)
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Artificial Intelligence | Department of Energy The Genesis Mission is a defining moment in American history, marshalling the full resources of our nation to secure technological leadership in the age of artificial intelligence.
This initiative combines DOE's and the National Labs' world-class supercomputing power, unique scientific data, and AI capabilities into a single integrated system designed to dramatically accelerate scientific discovery.
As strategic competitors race to dominate AI, the Genesis Mission ensures the United States will not only keep pace but will lead, accelerating breakthroughs in energy independence, national security, and critical technologies that will shape the future for generations to come. Learn more at the Genesis Mission website . What is Artificial Intelligence?
(AI) Artificial Intelligence (AI) is a broad technology area that includes machine-based systems that can make predictions, recommendations, or decisions. These systems are trained to identify patterns in data, and they can then generalize to answer new questions, generate text or other media, or make autonomous decisions.
How DOE is Advancing AI Innovation Laying the foundations for AI Since the 1960s, DOE has sponsored basic research in applied mathematics and computer science that laid the foundations for AI. Over the decades, DOE’s multi-pronged strategy of investments in hardware design, basic research for innovative AI techniques, and application development has enabled today's AI revolution.
DOE has a storied track record of working with industry on innovative hardware designs for advanced computing resources, including AI. Through the Exascale Computing Project, DOE, alongside its industry partners, successfully achieved a 200x improvement in energy efficiency for high-performance computing.
Critical components of today’s Graphic Processing Units – specialized chips that are used in training the AI models we rely on today – were initially developed via DOE’s early investments in high-performance computing.
Powering AI with scientific data Reliant AI also requires high-quality data and DOE’s experimental user facilities generate unparalleled scientific data sets – including data for high energy, nuclear and plasma physics, characterization of materials with X-rays and neutrons, and genomic analysis for biotechnology.
To maximize this data's impact, DOE enhances the reliability, robustness, and rigor of AI algorithms and methods to support their use in scientific research.
Accelerating discovery with AI Going forward, DOE will build an integrated AI platform to combine the Department's world-class computing, unique scientific datasets, experimental facilities, and quantum computing to drastically reduce the time-to-solution for today's most challenging scientific and national-security problems. In short, DOE will shrink discovery cycles from years to months and validate the most promising AI technologies.
How AI Innovation Advances DOE's Mission DOE’s investments in AI span the entire department, from scientific discovery to energy applications to national security. We have been applying AI to DOE’s mission areas for decades, with individual research programs focusing on enhancing the analysis of data across disciplines to maximize its scientific impact.
American Infrastructure Powering AI AI applications require robust energy infrastructure to drive growth and innovation. Data centers are projected to consume up to 9% of total U.S. electricity demand by 2030, with the largest growth dedicated to developing AI capabilities and scaling AI applications to millions of consumers.
Meeting the energy demands of data centers DOE possesses the technical resources to support the data center developers, utilities, state and local officials, and communities, and the Department is committed to collaborating with stakeholders to overcome the challenges of growing demand.
Public-private partnerships for American competitiveness We announced plans to partner with private-sector developers to develop cutting-edge AI data centers and energy-generation projects on DOE lands and launched the Speed to Power Initiative to accelerate the speed of large-scale grid infrastructure project development for both transmission and generation.
These initiatives help ensure the United States has the power needed to win the global AI race while continuing to meet growing demand for affordable, reliable, and secure energy.
Improving AI applications DOE is also committed to improving the efficiency of AI applications, building on a long history of supercomputer deployment, with multiple research efforts focused on improving the performance of individual chips, algorithms for software, computer systems, and data centers. And AI can also be part of the solution.
DOE released the PermitAI tool to improve the speed and quality of federal environmental permitting and we continue to explore ways that AI tools can deploy new energy generation, secure the power grid, and reduce the costs of next-generation energy technologies . While AI brings enormous potential to improve American innovation and prosperity, we also recognize the risks inherent in such technology.
AI systems may generate incorrect, unverifiable, and potentially harmful outputs, and any use of AI technology must properly understand and mitigate those risks. DOE's role in advancing AI security and reliability DOE is helping advance the science of AI risk and build a secure and reliable AI ecosystem.
Adversarial testing: We are leading the way by developing adversarial testing of AI models and systems, particularly against chemical, biological, radiological, and nuclear threats, as well as against cyber threats to the power grid. AI testbeds: We are building AI testbeds to provide developers safe and secure ways to test new AI tools, hardware, and algorithms.
Privacy-enhancing technologies: We are partnering with academic researchers and other federal agencies to develop privacy-enhancing technologies that will allow widespread deployment of AI tools while mathematically protecting the underlying data. Model assessment: We are leading the way with assessments of the scientific capabilities of AI models and understanding model thresholds and performance.
DOE’s work on these key issues is aligned with a national strategy laid out in Executive Orders, Management Memos, and National Security Memoranda. AI Governance and Implementation DOE is responsible for implementing relevant White House directives related to AI . This involves aligning DOE's AI research, development, deployment, and governance efforts with the broader AI strategy and guidance.
DOE actively participates in interagency AI initiatives, contributing its expertise in energy, science, and national security to inform government-wide AI policies and initiatives. This collaborative approach ensures that AI advancements are strategically leveraged across various sectors while addressing potential risks.
DOE AI Compliance Plan 2025 Annual AI Use Case Inventory Generative AI Reference Guide Global AI Research Agenda DOE is Advancing the AI Innovation Ecosystem DOE Announces New Actions to Enhance America’s Global Leadership in Artificial Intelligence DOE Announces New Actions to Enhance America’s Global Leadership in Artificial Intelligence United States and Japan Announce Historic $1 Billion Partnership Under President Trump’s Genesis Mission Funding Notice: Over $10 Million Available for High-Performance Computing Innovation Program Energy Department Announces Partnership to Ensure Affordable Energy and Power America’s AI Future Energy Department Announces $293 Million in Funding to Support Genesis Mission National Science and Technology Challenges DOE Releases New Report Evaluating Increase in Electricity Demand from Data Centers DOE Delivers Initial Risk Assessment on Artificial Intelligence for Critical Energy Infrastructure Artificial Intelligence for Nuclear Deterrence Strategy 2023 AI for Science Report 2020 AI for Energy Report 2024 AI for Science, Energy, and Security Report 2023 AI is a crosscutting technology that touches every part of DOE’s mission.
The Office of Critical and Emerging Technologies coordinates AI activities across DOE and the national laboratories.
Office of Critical and Emerging Technologies Hydrocarbons and Geothermal Energy Office Office of Cybersecurity, Energy Security, and Emergency Response Office of the Under Secretary for Science Office of the Chief Information Officer Office of Critical Minerals and Energy Innovation Office of Intelligence and Counterintelligence Office of Environmental Management
According to the current listing, eligibility includes: Universities and non-profit organizations are eligible. Confirm the full requirements in the official notice before applying.
The current listing shows varies (single investigator/small group efforts up to $500,000 per year). Verify award ceilings, matching requirements, and allowable costs in the official notice.
AI and Data Science for Energy Efficiency is funded by Department of Energy (DOE). Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
Building EPSCoR-State/National Laboratory Partnerships is a grant from Department of Energy (DOE) Office of Science that these partnerships advance understanding of the physical world by supporting fundamental, early-stage energy research collaborations with the DOE National Laboratories. DOE EPSCoR follows NSF EPSCoR Program eligibility determinations. Eligible institutions in EPSCoR states, including universities and research organizations, partnering with DOE National Laboratories. The application deadline is 2026-07-01 00:00:00+00.
Energy Frontier Research Centers (EFRC) program (NOFO: DE-FOA-0003554) is sponsored by U.S. Department of Energy (DOE) Office of Science. This Notice of Funding Opportunity (NOFO) from the Department of Energy's Office of Science aims to accelerate breakthroughs in critical minerals, quantum computing, and advanced manufacturing through fundamental energy technology research.
NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.
CalSEED Concept Award is a grant from the California Energy Commission that provides $150,000 in funding to early-stage clean energy innovators in California. The program targets individuals, businesses, and nonprofits developing hardware, software, or integrated solutions at Technology Readiness Levels 2-4. Eligible technology areas rotate each cycle and have included battery recycling and reuse, long-duration energy storage, medium- and heavy-duty vehicle electrification, industrial electrification, and advanced EV charging. Applicants must be located in California, have under $1 million in private funding, and propose innovations that benefit California ratepayers. Concept Award winners also receive professional development resources and access to accelerator programs, and may compete for a subsequent $450,000 Prototype Award.
NIST SBIR Phase I - Advanced Manufacturing and Robotics is sponsored by National Institute of Standards and Technology. NIST SBIR Phase I - Advanced Manufacturing and Robotics is a grant from the National Institute of Standards and Technology (NIST) that funds small businesses with innovative research and technology ideas in advanced manufacturing and robotics.
On July 22, 2026, the Department of Energy opened its FY26 Genesis Mission SBIR/STTR round — roughly 40 Phase I awards across four topic areas (biotech, quantum, materials, and autonomous labs), a $147 million Phase II pool, and a September 10 pitch deadline. This is how small businesses get inside the $5 billion Genesis Mission. Here is what each topic funds, how the money and timeline work, and the concrete strategy to compete.
Read articleOn July 22, 2026, the White House announced more than $5 billion in federal commitments for the Genesis Mission — the Department of Energy-led national initiative to fuse AI, exascale computing, and the 17 national labs into a single scientific platform. Nearly 300 projects across all 50 states were selected from a historic Request for Applications, and 15-plus agencies are now attaching funding to a set of National Science and Technology Challenges. Here is what the Genesis Mission is, how the money is structured, and the concrete on-ramps for researchers, universities, and small businesses who were not in the first cohort.
Read articleThe Department of Energy's Office of Critical Minerals and Energy Innovation is spending to break America's 95% dependence on foreign rare earths. The strategy is unusual: recover critical materials from the waste streams of coal plants, smelters, and refineries that already exist. Here is the full funding architecture — the $75M just awarded, the $500M battery-materials round, the $1B pipeline behind them — and how an industrial operator should position for what comes next.
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