Research will accelerate breakthroughs in science underlying energy technologies.
February 8, 2019
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WASHINGTON, D.C. - Today, the U.S. Department of Energy (DOE) announced plans to provide $30 million for new research using modern data science approaches to accelerate discovery in chemistry and materials sciences.
“Data science tools such as artificial intelligence and machine learning are poised to profoundly change how scientific research is conducted,” said DOE Under Secretary for Science Paul Dabbar. “This initiative ensures that America will remain on the cutting edge of breakthroughs in chemical and materials sciences critical for the nation’s energy and economic security.”
Data science combines computer science, applied math, and statistics with specific fields of science to discover new knowledge from complex data sets.
The initiative seeks proposals that focus on innovative applications of modern data science approaches to understand processes and mechanisms in complex energy-relevant chemical and materials systems.
National laboratories, universities, nonprofits, and companies will be eligible to apply for the three-year awards, which will be selected on the basis of peer review. The Basic Energy Sciences program in the Department’s Office of Science, which is funding the effort, envisions awards for single investigators and small groups.
Pre-applications will be due on March 8, 2019 at 5:00 PM Eastern Time, while the deadline for final applications will be May 15, 2019 at 5:00 PM Eastern Time. The Funding Opportunity Announcement for universities, nonprofits, and companies, along with a parallel, companion announcement for DOE laboratories, can be found here.
Planned funding for Fiscal Year 2019 will be $10 million, with outyear funding contingent on congressional appropriations.
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