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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.
Constantine P. Tzanos
Nuclear Technology | Volume 109 | Number 1 | January 1995 | Pages 108-122
Technical Paper | Heat Transfer and Fluid Flow | doi.org/10.13182/NT95-A35071
Articles are hosted by Taylor and Francis Online.
Turbulent airflows around structures are important in many engineering applications. Such flows can have a significant impact on the thermal performance of the reactor vessel auxiliary cooling system (RVACS) of advanced liquid-metal reactor designs. The adequacy of the high-Reynolds-number form of the k-∈ model in analyzing turbulent airflow around structures like the RVACS stacks is evaluated. An experiment of simulated atmospheric turbulent flow around a cube is analyzed with the computer code COMMIX, and numerical predictions for pressure and velocity distributions are compared with experimental measurements. Considering the complexity of the problem and the approximations involved in the k-∈ model, the overall agreement between numerical predictions and measurements of pressure coefficients and velocities is good. The largest discrepancies between predictions and measurements are in the pressure coefficient at the sections of the top and side cube surfaces very close to the upwind edges and in the spanwise velocity distribution downstream from the cube.