AI accelerates search for safer, more durable materials for nuclear reactors

December 23, 2021, 9:30AMNuclear NewsJohn Spizzirri
A cutaway view of a nuclear reactor. Its construction consists of two essential material types: fuel, which comprises the rods and cores that hold the fuel (center vertical bands); and structural, those parts of the reactor that house the fuel materials. (Graphic: Shutterstock/petrov-k)

Researchers from the Department of Energy’s Argonne National Laboratory are developing a “tool kit” based on artificial intelligence that will help better determine the properties of materials used in building a nuclear reactor.

To continue reading, log in or create a free account!

Related Articles

Congress passes new nuclear funding

January 20, 2026, 3:37PMNuclear News

On January 15, in an 82–14 vote, the U.S. Senate passed an Energy and Water Development appropriations bill to fund the U.S. Department of Energy for fiscal year 2026 as part of a broader...