Machine learning facilitates 'turbulence tracking' in fusion reactors

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.

from Top Technology News -- ScienceDaily https://ift.tt/M7HeWP4