DOE Announces $26 Million to Advance Chemical and Materials Sciences with Data Science

The U.S. Department of Energy (DOE) announced $26 million in funding to harness cutting-edge research tools for new scientific discoveries fundamental to clean energy solutions. The 10 projects announced today will help scientists to unleash the power of data science —including artificial intelligence and machine learning (AI/ML)—on experiments, theory, and computation-based methods to tackle the basic science challenges that will enable clean energy technologies, improve energy efficiency, and advance our understanding of chemical and materials systems.

“Data science, and especially AI/ML, provides unique opportunities to leapfrog to novel capabilities for understanding fundamental properties and processes in physical and chemical systems,” said Dr. Steve Binkley, Acting Director of DOE’s Office of Science. “This research will take advantage of the rapid growth of AI/ML to accelerate the discoveries needed for more efficient energy generation, storage, and use, while eliminating or reducing the emission of greenhouse gases and the use of critical resources.”

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