Deep neural network to find hidden turbulent motion on the sun

Scientists developed a neural network deep learning technique to extract hidden turbulent motion information from observations of the sun. Tests on three different sets of simulation data showed that it is possible to infer ...

EPFL and DeepMind use AI to control plasmas for nuclear fusion

EPFL's Swiss Plasma Center (SPC) has decades of experience in plasma physics and plasma control methods. DeepMind is a scientific discovery company acquired by Google in 2014 that's committed to "solving intelligence to advance ...

Graphene and an intense laser open the door to the extreme

Laser-driven ion acceleration has been studied to develop a compact and efficient plasma-based accelerator, which is applicable to cancer therapy, nuclear fusion, and high energy physics. Osaka University researchers, in ...

Upgraded code reveals a source of damaging fusion disruptions

Researchers at the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL) and Los Alamos National Laboratory have uncovered a key process behind a major challenge called thermal quenches, the rapid heat loss ...

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