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Tech giants and nuclear leaders make news at CERAWeek
Microsoft and Nvidia have formed an “AI for nuclear” partnership intended to streamline the permitting, design, and operations of nuclear power plant facilities, and highlighted the collaboration at CERAWeek 2026 in Houston earlier this week.
Microsoft said in an announcement that the collaboration will build a “connected, AI-powered foundation” of AI tools that energy developers will be able to use to make work “repeatable, traceable, secure, and predictable,” all the while reducing work timelines and maintaining safety.
F. S. Dietrich, J. D. Anderson, R. W. Bauer, S. M. Grimes, D. P. McNabb
Nuclear Science and Engineering | Volume 159 | Number 2 | June 2008 | Pages 213-220
Technical Paper | doi.org/10.13182/NSE159-213
Articles are hosted by Taylor and Francis Online.
A new method has been applied to the determination of neutron nonelastic cross sections for iron 56Fe and lead 208Pb for energies between 5 and 26 MeV. These data have estimated errors of only a few percent and do not suffer from the ambiguities encountered in earlier nonelastic data. We attempt to fit these high-precision data using both a semiclassical single phase shift model (nuclear Ramsauer model) as well as a recent global optical model that well reproduces a wide body of neutron scattering observables. At the 5% uncertainty level, both models produce satisfactory fits. However, neither model gives satisfactory fits to these new precise data. We conclude that fitting precise data, i.e., data with errors of ~2% or less, may require a nuclear mass dependence of radii that reflects structure effects such as shell closures.