Argonne’s AI transformers to improve nuclear reactor simulations
If you’ve used a large language model such as ChatGPT, you’ve interacted with a transformer, the neural network architecture that powers many generative artificial intelligence (AI) models.
This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20260727158312/en/ Turbulent viscosity fields predicted by data-driven model and two standard approaches (k-omega SST and k-epsilon). (Image by Argonne National Laboratory)
Researchers at the U.S. Department of Energy’s Argonne National Laboratory are adapting this architecture to model complex physical systems. They’re using AI transformers to accelerate and improve fluid-dynamics simulations for advanced nuclear reactors. Better simulations strengthen nuclear energy systems, keeping them safe and efficient.
Argonne’s transformers analyze the relationship between physical data, such as locations, velocities and how fluids flow within a nuclear power plant. Predicting the effects of fluid flows is called turbulence modeling.
