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Tokamaks

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A nuclear fusion reactor in which a magnetic field keeps charged, hot plasma moving in a doughnut-shaped vacuum container.

Machine learning technique offers insight into plasma behavior

Machine learning, which lets researchers determine if two processes are causally linked without revealing how, could help stabilize the plasma within doughnut-shaped fusion devices known as tokamaks. Such learning can facilitate the avoidance of disruptions — off-normal events in tokamak plasmas that can lead to very fast loss of the stored thermal and magnetic energies and threaten the integrity of the machine.

Predhiman Kaw, founder of India’s fusion program and former PPPL physicist, is dead at age 69

Predhiman Kaw, an internationally-known plasma physicist who is considered the father of India’s nuclear fusion program, was remembered fondly by his colleagues at the U.S. Department of Energy’s Princeton Plasma Physics Laboratory (PPPL) last week after they learned of Kaw’s June 19 death.  He was 69. 

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

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 U.S.-Chinese experiments on the Experimental Advanced Superconducting Tokamak (EAST) in Hefei, China. Leading the U.S. collaboration is the 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.

Scientists perform first basic physics simulation of spontaneous transition of the edge of fusion plasma to crucial high-confinement mode

Physicists at the U.S. Department of Energy’s (DOE) Princeton Plasma Physics Laboratory (PPPL) have simulated the spontaneous transition of turbulence at the edge of a fusion plasma to the high-confinement mode (H-mode) that sustains fusion reactions. The detailed simulation is the first basic physics, or first-principles-based, modeling with few simplifying assumptions.

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