Scientists have long seen a puzzling pattern in tokamaks, the doughnut-shaped machines that could one day reliably generate electricity from fusing atoms. When plasma particles escape the core of the ...
The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...
A persistent asymmetry in fusion exhaust has challenged researchers for years. New simulations show that plasma core rotation, working together with cross-field drifts, determines where particles land ...
At the same time, a current of cold electrons travels toward the heated plasma from the opposite direction. When the two meet, the plasma develops filament-shaped instabilities that SLAC’s facilities ...
A 0.5-tonne superconducting magnet recently hovered silently inside a 5-meter-wide vacuum chamber, which marked ...
New simulations from Princeton Plasma Physics Laboratory suggest that deliberately engineering plasma rotation inside tokamak fusion reactors could dramatically reduce the heat loads that destroy ...
Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...
Fusion energy promises a future of clean, nearly limitless power, but building reactors that can survive the extreme ...