The awards will fund research into artificial intelligence and machine learning approaches to developing fusion energy, as well as fundamental theory and simulation.
The Department of Energy announced on March 4 that it will provide $30 million for new research on fusion energy. The funding will provide $17 million for research focused specifically on artificial intelligence (AI) and machine learning (ML) approaches for the prediction of key plasma phenomena, management of facility operations, and accelerated discovery through data science, among other topics. An additional $13 million under a separate funding opportunity will be devoted to fundamental fusion theory research, including computer modeling and simulation, focused on factors affecting the behavior of hot plasmas confined by magnetic fields in fusion reactors.
In its ongoing effort to keep its criteria relevant, ABET has revised its student outcome and curriculum requirements.
ABET, originally an acronym for the Accreditation Board for Engineering and Technology, is a nonprofit, nongovernmental organization that accredits college and university programs in the disciplines of applied and natural science, computing, engineering, and engineering technology. ABET accredits degrees at the associate, bachelor’s, and master’s levels. Over the years, the organization has expanded its domestic and global accreditation presence, and it currently accredits over 4,000 programs in 32 countries.