Frontier exascale AI trains model of magnetic turbulence in cosmic plasmas
Researchers used the Frontier exascale supercomputer at Oak Ridge National Laboratory to train an AI model that captures magnetic turbulence in plasma, a step toward better modeling of stars and supernovae.
What happened
Frontier, the Oak Ridge National Laboratory supercomputer described as the first exascale system, was used to train an artificial intelligence model that captures magnetic turbulence within a plasma. The work, led by Semih Kacmaz and overseen by Eliu Huerta, aims to improve astrophysical modeling and predictions of cosmic events such as stars and supernovae.
Technical approach
To tackle the challenge, the team adopted a two-stage approach:
- •First, a physics-informed neural operator learns the behavior of plasma.
- •Then, a diffusion-based model reconstructs the small eddies and rapid fluctuations that define turbulent flows.
Why it matters
Huerta said, "This kind of capability has long been the dream of astrophysicists and many other scientists."
Scoring Rationale
Grounded in exascale computing and AI-driven plasma turbulence modeling with no unsupported numeric claims.
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