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Energy that originates from the splitting of uranium atoms in a process called fission. This is distinct from a process called fusion where energy is released when atomic nuclei combine or fuse.

Updated computer code improves prediction of energetic particle motion in plasma experiments

A computer code used by physicists around the world to analyze and predict tokamak experiments can now approximate the behavior of highly energetic atomic nuclei, or ions, in fusion plasmas more accurately than ever. The new capability, developed by physicist Mario Podestà at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), outfits the code known as TRANSP with a subprogram that simulates the motion that leads to the loss of energetic ions caused by instabilities in the plasma that fuels fusion reactions.

Updated computer code improves prediction of energetic particle motion in plasma experiments

A computer code used by physicists around the world to analyze and predict tokamak experiments can now approximate the behavior of highly energetic atomic nuclei, or ions, in fusion plasmas more accurately than ever. The new capability, developed by physicist Mario Podestà at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), outfits the code known as TRANSP with a subprogram that simulates the motion that leads to the loss of energetic ions caused by instabilities in the plasma that fuels fusion reactions.

PPPL researchers perform first basic-physics simulation of the impact of recycled atoms on plasma turbulence

Turbulence, the violently unruly disturbance of plasma, can prevent plasma from growing hot enough to fuel fusion reactions. Long a puzzling concern of researchers has been the impact on turbulence of atoms recycled from the walls of tokamaks that confine the plasma.

PPPL researchers perform first basic-physics simulation of the impact of recycled atoms on plasma turbulence

Turbulence, the violently unruly disturbance of plasma, can prevent plasma from growing hot enough to fuel fusion reactions. Long a puzzling concern of researchers has been the impact on turbulence of atoms recycled from the walls of tokamaks that confine the plasma.

PPL researchers demonstrate first hot plasma edge in a fusion facility

Two major issues confronting magnetic-confinement fusion energy are enabling the walls of devices that house fusion reactions to survive bombardment by energetic particles, and improving confinement of the plasma required for the reactions. At the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL), researchers have found that coating tokamak walls with lithium— a light, silvery metal— can lead to progress on both fronts.

U.S.-China collaboration makes excellent start in optimizing lithium to control fusion plasmas

China has the Experimental Advanced Superconducting Tokamak (EAST) facility, a steady-state capable superconducting tokamak with many auxiliary systems being developed to qualify reactor-relevant technology.  As such, EAST is well-suited to address gaps in the physics basis for steady-state operation, plasma control, and plasma-material interfaces. Continued collaborations with EAST (ongoing since the start of the EAST project) enables U.S.

PPPL-led team wins major award of time on DOE supercomputers for fusion studies in 2017

A nationwide team of researchers led by physicist C.S. Chang of the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) has won the use of 269.9 million supercomputer hours to complete an extreme-scale study of the complex edge region of fusion plasmas. The award was made by the DOE’s ASCR Leadership Computing Challenge (ALCC) program for 2017, supported by DOE’s Office of Science.

PPPL-led team wins major award of time on DOE supercomputers for fusion studies in 2017

A nationwide team of researchers led by physicist C.S. Chang of the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) has won the use of 269.9 million supercomputer hours to complete an extreme-scale study of the complex edge region of fusion plasmas. The award was made by the DOE’s ASCR Leadership Computing Challenge (ALCC) program for 2017, supported by DOE’s Office of Science.

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