Public Release: 19-Oct-2017
Plasma Physics and Controlled Fusion The blob that ate the tokamak: Physicists gain understanding of bubbles at edge of plasmas
Scientists at PPPL have completed new simulations that could provide insight into how blobs at the plasma edge behave. The simulations, produced by a code called XGC1 developed by a national team based at PPPL, performed kinetic simulations of two different regions of the plasma edge simultaneously.
US Department of Energy
Public Release: 21-Sep-2017 PPPL physicist Francesca Poli named ITER Scientist Fellow
Physicist Francesca Poli of the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL) has been appointed an ITER Scientist Fellow. She will join a network of researchers who have achieved international recognition and will work closely with ITER, an international tokamak under construction in France, to develop the scientific program to be carried out during the fusion device's lifetime.
Public Release: 28-Aug-2017 PPPL physicists essential to new campaign on world's most powerful stellarator
Physicists from the U.S. Department of Energy's (DOE) Princeton Plasma Physics Laboratory (PPPL) are providing critical expertise for the first full campaign of the world's largest and most powerful stellarator, a magnetic confinement fusion experiment, the Wendelstein 7-X (W7-X) in Germany. The fusion facility resumes operating on August 28, 2017, and will investigate the suitability of its optimized magnetic fields to create steady state plasmas and to serve as a model for a future power plant for the production of a "star in a jar," a virtually limitless source of safe and clean energy for generating electricity.
DOE/Office of Science
Public Release: 24-Aug-2017
Physics of Plasmas PPPL physicist discovers that some plasma instabilities can extinguish themselves
PPPL physicist Fatima Ebrahimi has for the first time used advanced models to accurately simulate key characteristics of the cyclic behavior of edge-localized modes, a particular type of plasma instability. The findings could help physicists more fully comprehend the behavior of plasma, the hot, charged gas that fuels fusion reactions in doughnut-shaped fusion facilities called tokamaks, and more reliably produce plasmas for fusion reactions.
DOE/Office of Science
Public Release: 13-Jul-2017
Plasma Physics and Controlled Fusion Machine learning technique offers insight into plasma behavior
A paper by graduate student Matthew Parsons describes the application of machine learning to avoiding plasma disruptions, which will be crucial to ensuring the longevity of future large tokamaks.
Fulbright US Student Program, US Department of Energy, DOE/Fusion Energy Sciences
Public Release: 15-Jun-2017 US-China collaboration makes excellent start in optimizing lithium to control plasma
For fusion to generate substantial energy, the ultra-hot plasma that fuels fusion reactions must remain stable and kept from cooling. Researchers have recently shown lithium, a soft, silver-white metal, to be effective in both respects during path-setting US-Chinese experiments on the Experimental Advanced Superconducting Tokamak (EAST) in Hefei, China.
US Department of Energy, China's National Magnetic Fusion Science Program, China's National Nature Science Foundation, and China's A3 Foresight Program
Public Release: 18-May-2017
Physical Review Letters Scientists perform first-principles simulation of transition of plasma edge to H-mode
PPPL physicists have simulated the spontaneous transition of turbulence at the edge of a fusion plasma to the high-confinement mode that sustains fusion reactions. The research was achieved with the extreme-scale plasma turbulence code XGC developed at PPPL in collaboration with a nationwide team.
US Department of Energy (Fusion Energy Sciences, Advanced Scientific Computing Research)
Public Release: 10-May-2017
Physics of Plasmas New model of plasma stability could help researchers predict and avoid disruptions
PPPL physicists have helped develop a new computer model of plasma stability in doughnut-shaped fusion machines known as tokamaks. The new model incorporates recent findings gathered from related research efforts and simplifies the physics involved so computers can process the program more quickly. The model could help scientists predict when a plasma might become unstable and then avoid the underlying conditions.
DOE/Office of Science
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