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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.
A. Patra, S. Saha Ray
Nuclear Technology | Volume 189 | Number 1 | January 2015 | Pages 103-109
Technical Note | Reactor Safety | doi.org/10.13182/NT13-148
Articles are hosted by Taylor and Francis Online.
This technical note introduces a numerical procedure that is efficient for calculating the solution for the fractional order nonlinear neutron point-kinetics equation in nuclear reactor dynamics. The explicit finite difference method (EFDM) is applied to solve the fractional order nonlinear neutron point-kinetics equation with Newtonian temperature feedback reactivity. This nonlinear neutron point-kinetics model has been analyzed in the presence of temperature feedback reactivity. The numerical solution obtained by EFDM is an approximate solution that is based on neutron density, precursor concentrations of multigroup delayed neutrons, and the reactivity function. The method is investigated using experimental data, with given initial conditions along with Newtonian temperature feedback reactivity. From the computational results, it can be shown that this numerical approximation method is straightforward and effective for solving fractional order nonlinear neutron point-kinetics equations. Numerical results citing the behavior of neutron density for different types of fractional order are presented graphically.