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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.
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Department of Energy Announces $30 Million for Machine Learning and Artificial Intelligence Research | Department of Energy Department of Energy Announces $30 Million for Machine Learning and Artificial Intelligence Research Today, the U.S. Department of Energy (DOE) announced a plan to provide up to $30 million for advanced research in machine learning (ML) Focus is on Physical Sciences Research and Management of Complex Systems WASHINGTON, D.
C. — Today, the U.S. Department of Energy (DOE) announced a plan to provide up to $30 million for advanced research in machine learning (ML) and artificial intelligence (AI) for both scientific investigation and the management of complex systems. The initiative encompasses two separate topic areas.
One topic is focused on the development of ML and AI for predictive modeling and simulation focused on research across the physical sciences. ML and AI are thought to offer promising new alternatives to traditional programming methods for computer modeling and simulation. A second topic is focused on basic ML and AI research for “decision support” in managing complex systems.
Potential eventual applications could include cybersecurity, power grid resilience, and other complex processes where ML and AI can make or aid in making decisions in real time. “Both Artificial Intelligence and Machine Learning are among the most powerful tools we have today for both advancing scientific knowledge and managing our increasingly complex technological environment,” said Under Secretary for Science Paul Dabbar.
“This foundational research will help keep the United States in the forefront as applications for ML and AI rapidly expand, and as we utilize this evolving technology to solve the world’s toughest challenges such as COVID-19. ” Applications will be open to DOE national laboratories, universities, nonprofits, and industry. Funding is to be awarded competitively based on peer review.
Planned funding for the “Scientific Machine Learning for Modeling and Simulations” topic will be up to $10 million in Fiscal Year (FY) 2020 dollars for projects of two years in duration. Planned funding for the “Artificial Intelligence and Decision Support for Complex Systems” topic will be up to $20 million, with up to $7 million in FY 2020 dollars and outyear funding contingent on congressional appropriations.
Public Opportunity to Comment on Grazing Activities at LM Sites View Previous Press Release Energy Department Announces Intent to Fund Energy Storage Projects Explore more on these topics: Research, Technology, and Economic Security (202) 586-4940 or DOENews@hq. doe. gov
According to the current listing, eligibility includes: DOE national laboratories, universities, nonprofits, and industry. Confirm the full requirements in the official notice before applying.
The current listing shows up to $20 million (up to $7 million in FY 2020 dollars, outyear funding contingent on congressional appropriations). Verify award ceilings, matching requirements, and allowable costs in the official notice.
Artificial Intelligence and Decision Support for Complex Systems (part of DOE's advanced research in ML and AI initiative) is funded by U.S. 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.
The Merck Stimulating Innovative Research Grant Program 2026 includes a dedicated grant topic for artificial intelligence in cell culture media and process development, offering up to EUR 150,000 per year for up to 3 years. The program accelerates innovation through collaborative research, early engagement with industry experts, and translation of novel ideas into practical solutions. In 2026, priority areas also include in-vitro models for neuroinflammatory diseases (EUR 250,000/year for 2 years) and innovative approaches to contaminated materials remediation (EUR 150,000/year for 2 years). The two-stage application process begins with non-confidential submissions, followed by deep-dive workshops where finalists collaborate with Merck scientists and managers to jointly optimize proposals. The AI-specific grant focuses on applying machine learning and AI to optimize cell culture media formulation, bioprocess parameter optimization, and manufacturing quality control.
NIST – Measurement Science and Engineering (MSE) Research Grant Programs 2025‑NIST‑MSE‑01 is sponsored by NIST. NIST – Measurement Science and Engineering (MSE) Research Grant Programs is a grant from the National Institute of Standards and Technology (NIST) that funds research and partnership activities in metrology, standards, nanotechnology, artificial intelligence, advanced communicat…
On September 21, 2026 DOE selected 21 projects under DE-FOA-0003472 — five EGS field tests and 16 exploration wells — for up to $99 million of a $171.5 million authorization. The solicitation is structured to reopen for up to 72 months on roughly annual cycles. Here is how to position for the next one.
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Read articleThe DOE Quantum Genesis Q Competition (DE-FOA-0003657) posted September 17, 2026 with an October 19 deadline. Phase I pays $250,000 then $1.25M on milestones; Phase II is a $100M pool plus two $50M bonus pools at 150 and 200 logical qubits. It is an Other Transaction Agreement, not a grant.
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