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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.

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NRC proposes rule changes in response to EO

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In April, President Donald Trump signed Executive Order 14270, “Zero-Based Regulatory Budgeting to Unleash American Energy,” which calls for the Nuclear Regulatory Commission (along with...

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Project delivers a universal waste canister for advanced reactors

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Project Pele progress: BWXT delivers fuel to INL

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This week, BWX Technologies, alongside Idaho National Laboratory and the Department of Defense’s Strategic Capabilities Office, announced the arrival of a full core of TRISO fuel at INL’s...

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ANS hosts webinar on uranium mill tailing facilities

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The DOE reorganization’s impact on nuclear

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In a recent press release, the Department of Energy announced an organizational realignment aimed at “expanding American energy production, accelerating scientific and technological...

My story: Abraham Weitzberg, ANS member since 1962

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My first exposure to nuclear engineering was in 1956–57 when I was a fourth-year chemical engineering undergraduate at MIT. The previous summer, I worked at an oil refinery in New Jersey...

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

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