Scientists at Ames National Laboratory are currently expanding a new artificial intelligence tool to improve predictions regarding how materials behave during the operation of fusion energy systems.
This expansion involves integrating new data and models to better understand material performance under intense heat, radiation, and mechanical stress.
The project is supported by the ARPA-E CHADWICK program and laboratory investments and aligns with the Department of Energy’s Genesis mission to speed up the discovery and deployment of advanced materials for energy technologies.
The tool, called DuctGPT, combines artificial intelligence with physics-based modeling to help researchers identify materials with properties suitable for the interior of fusion reactors.
“Now when you ask it, ‘I want to design a material for fusion that has all x, y, z properties that are critical for use in fusion reactors,” Tell me the combination of elements which satisfy the criteria,’ it will give you those combinations of elements with properties,” said Ames Lab Scientist Prashant Singh.
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