DOE announces $29M for research on machine learning, artificial intelligence, and data resources for fusion energy sciences
The US Department of Energy (DOE) announced $29 million in funding for seven team awards for research in machine learning, artificial intelligence, and data resources for fusion energy sciences.
Nineteen institutions will apply advanced and autonomous algorithms to address high-priority research opportunities in fusion and plasma sciences. The teams include fusion and plasma researchers working in partnership with data and computational scientists through the establishment of multi-institutional, interdisciplinary collaborations.
The recipients will pursue research in science discovery, diagnostic data analysis, model extraction and reduction, plasma control, analysis of extreme-scale simulation data, and data-enhanced prediction. Multiple awards will focus on establishing new systems for managing, formatting, curating, and accessing experimental and simulation data with research products to be provided in publicly available databases.
The projects were selected by competitive peer review under the DOE Funding Opportunity Announcement for Machine Learning, Artificial Intelligence, and Data Resources for Fusion Energy Sciences.
Total funding is $29 million for projects lasting up to three years in duration, with $11 million in Fiscal Year 2023 dollars and outyear funding contingent on congressional appropriations.