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DOE/Princeton Plasma Physics Laboratory


Replacing hype about artificial intelligence with accurate measurements of success

A systematic review by PPPL researchers found that most journal articles on machine learning for solving fluid-related PDEs are biased towards machine learning, with negative results underreported. The authors propose rules to make fair comparisons and argue that cultural changes are needed to address systemic problems.

SourceDOE/Princeton Plasma Physics Laboratory·JournalNature Machine Intelligence·DateSep 25, 2024

Quenching the intense heat of a fusion plasma may require a well-placed liquid metal evaporator

Scientists at PPPL envision a hot region with flowing liquid metal that protects the inside of the tokamak from intense heat. The new simulations reflect additional information, including collisions between neutral particles, and determine the best location for the lithium vapor cave is near the bottom of the tokamak by the center stack.

SourceDOE/Princeton Plasma Physics Laboratory·JournalNuclear Fusion·DateAug 21, 2024

Using artificial intelligence to speed up and improve the most computationally-intensive aspects of plasma physics in fusion

PPPL researchers utilize machine learning to perfect plasma vessel design, optimize heating methods, and maintain stable control of fusion reactions. The team achieves significant results by predicting disruptions and adjusting settings before instabilities occur, enabling high-confinement modes in tokamaks.

SourceDOE/Princeton Plasma Physics Laboratory·JournalNature Communications·DateMay 14, 2024

The world's largest turbulence simulation unmasks the flow of energy in astrophysical plasmas

A team of researchers has made a groundbreaking discovery that helps explain how the solar corona can be vastly hotter than its surface. The breakthrough involves magnetic reconnection, which separates and reconnects magnetic fields in plasma, converting turbulent energy into thermal energy at small scales.

SourceDOE/Princeton Plasma Physics Laboratory·JournalScience Advances·TypeComputational simulation/modeling·DateDec 23, 2022

Elemental research: Scientists apply boron to tungsten components in fusion facilities

Researchers at Princeton Plasma Physics Laboratory have successfully applied boron powder to tungsten components in tokamaks, improving plasma confinement and reducing the risk of edge-localized modes. The innovative approach uses a PPPL-developed powder dropper to deposit boron coatings while minimizing disruptions to the magnetic field.

SourceDOE/Princeton Plasma Physics Laboratory·JournalNuclear Fusion·TypeExperimental study·DateAug 30, 2022

Smaller, stronger magnets could improve devices that harness the fusion power of the sun and stars

Researchers at PPPL developed smaller, stronger high-temperature superconducting magnets for spherical tokamaks, enabling more efficient fusion power plants. The new magnets reduce construction costs and increase performance by shrinking the size of tokamaks.

SourceDOE/Princeton Plasma Physics Laboratory·JournalIEEE Transactions on Applied Superconductivity·TypeExperimental study·DateJul 25, 2022

Unraveling a perplexing explosive process that occurs throughout the universe

Scientists have simulated a way to create and observe the early stages of fast radio bursts, a mysterious phenomenon that releases enormous energy in space. The proposed experiment uses a strong laser to produce pair plasma, which is then shifted to a higher frequency, demonstrating the prospects for laboratory production and observation.

SourceDOE/Princeton Plasma Physics Laboratory·JournalPhysics of Plasmas·TypeObservational study·DateMay 20, 2022

A roadmap for deepening understanding of a puzzling universal process

Researchers propose multiple plasmoids could bridge the vast range of scales in magnetic reconnection, enabling more credible simulations and high-fidelity experiments. The coming experiments will use exascale supercomputers and multiscale laboratory facilities to study reconnection in nature more faithfully.

SourceDOE/Princeton Plasma Physics Laboratory·JournalNature Reviews Physics·TypeObservational study·DateApr 22, 2022