To expand the potential use of diamond in semiconductor and quantum technologies, researchers are developing improved processes for growing the material at lower temperatures that won’t damage the silicon in computer chips. These advances include insights into creating protective hydrogen layers on quantum diamonds without damaging crucial properties like nitrogen-vacancy centers.
PPPL researchers have made a significant advancement in understanding the underlying heating mechanism of the sun’s atmosphere, finding that reflected plasma waves could drive the heating of coronal holes.
New artificial intelligence models for plasma heating can do more than was previously thought possible, not only increasing the prediction speed 10 million times while preserving accuracy but also correctly predicting plasma heating in cases where the original numerical code failed.
New experimental results suggest that sprinkling boron into a tokamak could shield the wall of the fusion vessel and prevent atoms from the wall from getting into the plasma. A new computer modeling framework shows the boron powder may only need to be sprinkled from one location. The experimental results and computer modeling framework will be presented this week at the 66th Annual Meeting of the American Physical Society Division of Plasma Physics in Atlanta.
As part of the global effort to harness power from fusing plasma, PPPL and the University of Seville’s Plasma Science and Fusion Technology Lab worked on the computer codes, engineering and physics for a new and unique fusion reactor: the SMall Aspect Ratio Tokamak.
Como parte del esfuerzo internacional para el desarrollo de la fusión nuclear como fuente de energía, PPPL contribuye al desarrollo y explotación científica del SMall Aspect Ratio Tokamak, SMART, de la Universidad de Sevilla, con algunas de las simulaciones numéricas, ingeniería y física del plasma más avanzadas hasta la fecha.
A new paper in Nature Machine Intelligence notes that journal articles reporting how well machine learning models solve certain kinds of equations are often overly optimistic. The researchers suggest two rules for reporting results and systemic changes to encourage clarity and accuracy in reporting.
Nominees for the award must be members of the ACS’s physical chemistry division. The winner receives the award at the meeting, gives a research presentation, and receives an honorarium. Carter is just the second person to receive this newly established award.
PPPL research scientist Lan Gao received a $2.75 million Early Career Research Program Award from the U.S. Department of Energy for her research on innovative X-ray diagnostics to develop fusion energy. Gao recently became head of PPPL’s High Energy Density Laboratory Plasmas Division of the Discovery Plasma Science Department.
Greg Hammett and Bill Dorland have been awarded the 2024 James Clerk Maxwell Prize for Plasma Physics for their pioneering work on turbulence in plasma, a key challenge in the quest for fusion energy.
PPPL scientists have observed new details of how plasma interacts with magnetic fields, potentially providing insight into the formation of enormous plasma jets that stretch between the stars.
New fusion simulations of the inside of a tokamak reveal the ideal spot for a “cave” with flowing liquid lithium is near the bottom by the center stack, as the evaporating metal particles should land in just the right spot to dissipate excess heat from the plasma.
Seasoned national laboratory scientist and leader Laura Berzak Hopkins joins PPPL as its new associate laboratory director for strategy and partnerships and deputy chief research officer.
Can plasma be sufficiently heated inside a tokamak using only microwaves? New research suggests it can! Eliminating the central ohmic heating coil normally used in tokamaks will free up much-needed space for a more compact, efficient spherical tokamak.
The thin slats of a PPPL prototype might create the ideal path for molten metal to carry away excess heat from a fusing plasma.
Researchers at the U.S. Department of Energy’s Princeton Plasma Physics Laboratory are applying their expertise in physics, chemistry and computer modeling to create the next generation of computer chips, aiming for processes and materials that will produce chips with smaller features.
PPPL physicists have developed a computer program incorporating machine learning that could help identify blobs of plasma in outer space known as plasmoids. In a novel twist, the program has been trained using simulated data.
Ravinder Bhatia, a leader and engineer with three decades of experience managing collaborative science initiatives, is the new head of ITER projects at PPPL. In this role, Bhatia oversees the design and fabrication of six diagnostic systems that PPPL is building for ITER.
A team of fusion researchers led by engineers at Princeton University and the U.S. Department of Energy’s Princeton Plasma Physics Laboratory (PPPL) have successfully deployed machine learning methods to suppress harmful edge instabilities — without sacrificing plasma performance. The research team demonstrated the highest fusion performance without the presence of edge bursts at two different fusion facilities — each with its own set of operating parameters.
The exhaust heat generated by a fusing plasma in a commercial-scale reactor may not be as damaging to the vessel’s innards as once thought, according to new research about escaping plasma particles made by researchers at the Princeton Plasma Physics Laboratory, Oak Ridge National Laboratory and ITER Organization (ITER).
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