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Machine learning facilitates "turbulence tracking" in fusion reactors | MIT News | Massachusetts Institute of Technology

Researchers demonstrated the use of computer-vision models to monitor turbulent structures that appear in plasma created in controlled-nuclear-fusion research. They created a synthetic dataset to train these models to identify and track the structures, which can affect the interactions between the plasma and the walls of the plasma vessel. ....

Theodore Golfinopoulos , Woonghee Harry Han , Iddo Drori , Artificial Intelligence Laboratory , Fusion Center , Department Of Civil , Boston University , Swiss Federal Institute Of Technology At Lausanne , Columbia University , Us Department Of Energy , Swiss National Science Foundation , Computer Science , Environmental Engineering , Swiss Federal Institute , Nature Scientific , Swiss National Science , Theodore Golfinopoulos , Iddo Drori , Okamak Device , Nuclear Fusion Reaction ,