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DOE Data Science and Computation Tools to Advance Climate Solutions is sponsored by U.S. Department of Energy (DOE). This funding opportunity supports researchers using data science and computation-based methods, including artificial intelligence and machine learning, to tackle basic science challenges, advance clean energy technologies, improve energy efficiency, and predict extreme weather and climate patterns.
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DOE Announces $34. 5 Million for Data Science and Computation Tools to Advance Climate Solutions | Department of Energy DOE Announces $34. 5 Million for Data Science and Computation Tools to Advance Climate Solutions Artificial intelligence and machine learning can boost clean energy technologies, energy efficiency, and climate modeling.
Artificial Intelligence and Machine Learning Can Boost Clean Energy Technologies, Energy Efficiency, and Climate Modeling “Today we have computers and tools that can collect, crunch, and decode mind-blowing amounts of data—and when you pair that power with America’s brilliant scientists, there is no problem we can’t solve,” said Secretary of Energy Jennifer M. Granholm.
“By aiming these resources square at our toughest challenges, including the climate crisis, we can discover the most effective solutions and deploy them faster for the American people. ” In recent years, the explosion of accessible data and new computation-based analysis tools has helped scientists and researchers better understand and predict the nature of complex scientific processes.
These tools have been used to figure out how solar cells can be designed to absorb light more efficiently, or how captured carbon dioxide can be converted in usable products instead of re-entering the atmosphere. “Artificial intelligence is already shaping our lives in countless ways, and the biggest upsides to AI remain in the future.
That’s why we must continue to invest in this generation-defining technology in ways that can help us combat the biggest issues of our day, like the climate crisis. The Department of Energy has a long history of funding foundational research, and I’m proud it is taking a major lead in providing federal funding for AI R&D.
This funding will galvanize groundbreaking discoveries to improve lives and ensure our country remains a global leader in technology and science,” said Representative Anna Eshoo.
DOE’s Office of Basic Energy Sciences (BES) will award up to $21 million over three years for research applying data science methods, including artificial intelligence and machine learning, to basic chemical and materials science challenges—such as the discovery and development of new materials and chemical processes to harvest, store, and use energy more efficiently, while limiting emissions.
For more information, visit the BES funding opportunity page. A total of up to $11. 5 million will be provided for the two efforts in the current fiscal year, with outyear funding contingent on Congressional appropriations.
Energy Department Announces $20 Million to Advance Manufacturability of Grid-Scale Energy Storage Technologies View Previous Press Release Department of Energy to Provide $12 Million for Research on Advanced Networking Explore more on these topics: (202) 586-4940 or DOENews@hq. doe. gov
According to the current listing, eligibility includes: Researchers and organizations applying data science methods, including AI/ML, to chemical and materials science challenges. Confirm the full requirements in the official notice before applying.
DOE Data Science and Computation Tools to Advance Climate Solutions 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.
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