Nuclear fusion is deemed the next big thing in the field of energy harvesting for humanity, but creating a reactor that can achieve continuous electricity generation has proved to be a massive ...

Nuno Loureiro was a physicist who served as the director of MIT’s Plasma Science and Fusion Center. He also held faculty appointments in MIT’s Department of Nuclear Science and Engineering and ...

The interiors of fusion reactors can get seriously chaotic. But for obvious reasons—like extreme temperatures and pressures—researchers aren’t typically able to peek directly inside a reactor. Some ...

FuZE-3’s plasma chamber is only about 12 feet long and produces hot dense plasma filaments a few millimeters wide. Credit: Zap Energy Zap Energy’s FuZE-3 device has reached giga-pascal-level plasma ...

An international team of scientists, led by the University of Oxford, has achieved a world-first by creating plasma "fireballs" using the Super Proton Synchrotron accelerator at CERN, Geneva, to study ...

Russell Kulsrud, Princeton professor of astrophysical sciences, emeritus, died on Sept. 23 at the age of 97. “Russell was one of the people that established the reputation of Princeton Plasma Physics ...

Hundreds of physicists from around the world will convene to present new research at the 67th annual meeting of the American Physical Society’s Division of Plasma Physics. The conference will be held ...

What if the next new theory of the universe didn’t come from a human mind, but from an artificial one? In a development that has left the scientific community both awestruck and unsettled, artificial ...

U.S. Department of Energy (DOE) Secretary Chris Wright visited the Princeton Plasma Physics Laboratory (PPPL) on Aug. 20 at a pivotal time for the race toward reliable fusion energy, which decisions ...

For all the problems AI is causing society, one of its greatest benefits lies in the world of science. A new study focused on the chaotic dynamics of dusty plasmas found that, when trained properly, ...

Physicists have used a machine-learning method to identify surprising new twists on the non-reciprocal forces governing a many-body system. The work is one of the relatively few instances of using AI ...