MIT scientists have completed one of the most demanding calculations in fusion science using a machine learning technique.
One of the most challenging problems for fusion researchers is predicting plasma temperature and density.
However, MIT researchers used techniques from machine learning to optimize such a calculation.

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They estimate that the method reduced the number of runs of the code by a factor of four.
Researchers use strong magnetic fields to isolate and insulate the hot plasma from ordinary matter on Earth.
Holland predicted that energy would “revolutionize” the global energy system.

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It could usher in an era of energy abundance, making energy cheap, always available, and ubiquitous.