The U.S. Department of Energy (DOE) has awarded up to $21 million for research on artificial intelligence (AI) and machine learning (ML) for fusion energy.
“These awards will enable fusion researchers to take advantage of recent rapid advances in artificial intelligence and machine learning,” Dr. Chris Fall, director of DOE’s Office of Science, said. “AI and ML will help us to accelerate progress in fusion and keep American scientists at the forefront of fusion research.”
The awarded projects will seek to automate data analysis workflows and enable real-time control algorithms to improve operational efficiencies at Office of Science fusion facilities. Researchers will use the world-leading supercomputing resources at DOE national laboratories.
The awards were made based on competitive peer review under a DOE Funding Opportunity Announcement. The $21 million in funding is for projects lasting up to three years in duration, with $8 million in Fiscal Year 2020 dollars and outyear funding contingent on congressional appropriations.
The effort is part of DOE’s Scientific Discovery through Advanced Computing program – a joint effort by the Offices of Fusion Energy Sciences and Advanced Scientific Computing Research within the DOE’s Office of Science.
The awards went to 16 different researchers. Their names and projects can be found by going to https://science.osti.gov/fes.
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