Scientists develop fast AI tool for fusion energy

GyroSwin generates 5D plasma simulations 1,000 times faster, helping scientists optimise turbulence in fusion reactors.

An AI tool called GyroSwin can model complex fusion plasma in seconds, drastically reducing computation time and aiding the design of future fusion power plants.

Scientists have developed an AI model capable of simulating complex fusion plasma in seconds, a process that previously took hours or even days. The tool, named GyroSwin, offers a faster, more cost-effective approach to designing future fusion power plants.

Traditional five-dimensional plasma simulations, which account for spatial dimensions and particle velocities, require immense supercomputing power and long computation times.

GyroSwin uses AI to learn plasma dynamics, producing accurate simulations up to 1,000 times faster than conventional methods. Faster modelling will help optimise turbulence management, a key challenge in achieving practical fusion energy.

The AI tool preserves crucial physical information, such as fluctuation scales and sheared flows, ensuring simulations remain physically interpretable.

Researchers at UK Atomic Energy Authority, Johannes Kepler University, and Emmi AI believe GyroSwin could transform the design and operation of next-generation fusion plants, including the UK’s STEP project.

GyroSwin demonstrates how AI and supercomputing can accelerate the path towards clean, abundant fusion energy while reducing the cost and complexity of plasma modelling, paving the way for a new era of fusion innovation.

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