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    "headline": "The Reactor Model Learned the Shape of Turbulence",
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    "dek": "A transformer model predicts turbulent-viscosity fields to accelerate fluid simulations for advanced reactor design.",
    "summary": "A transformer model predicts turbulent-viscosity fields to accelerate fluid simulations for advanced reactor design.",
    "body_text": "Argonne researchers trained a transformer architecture to infer turbulent-viscosity fields used in computational fluid-dynamics models of advanced nuclear reactors. Capturing those fields more efficiently could reduce the cost of exploring complex coolant flows while retaining important spatial structure. The model is a simulation aid under research, not an autonomous reactor controller or a substitute for physical validation and licensing.",
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    "tags": [
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      "title": "Argonne National Laboratory via Newswise: Transformer model for reactor turbulence",
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    "title": "The Reactor Model Learned the Shape of Turbulence",
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    "published_at": "2026-07-29T09:00:00.000-04:00",
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