This $214,394 National Science Foundation (NSF) Project Grant award under the Mathematical and Physical Sciences (CFDA 47.049) program supports computational research on how energy is distributed and dissipated in plasmas, one of the four fundamental states of matter found throughout the universe. The award will develop reduced plasma models that leverage novel machine learning techniques to enable more efficient simulations applicable to astrophysics, space weather modeling, and fusion energy development. The project will be performed in collaboration with academic institutions including École Polytechnique Fédérale de Lausanne, UCLA, MIT, and Princeton University, with experimental validation conducted at the University of Wisconsin-Madison's Plasma Physics Laboratory. The award will provide a valuable multidisciplinary research experience for undergraduate and graduate students, and include outreach activities at universities and local high schools.
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