$29m for US AI research on fusion energy
The US Department of Energy (DOE) announced $29m in funding for seven teams working on machine learning, artificial intelligence, and data resources for fusion energy sciences.
Nineteen institutions will apply advanced and autonomous algorithms to address high-priority research in fusion and plasma sciences over the next three years. The teams include researchers working in partnership with data and computational scientists through the establishment of multi-institutional, interdisciplinary collaborations.
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“Artificial intelligence and scientific machine learning are transforming the way fusion and plasma research is conducted. These awards will advance a broad set of capabilities across the Fusion Energy Sciences (FES) program, making essential capabilities available for all stakeholders,” said Jean Paul Allain, DOE Associate Director of Science for Fusion Energy Sciences. “The U.S. is leveraging every tool in its pursuit of an aggressive program that will bring fusion energy to the grid on the most rapid timescale.”
The projects are researching 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.