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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.
George A. Kyrala, Matthew M. Balkey, Cris W. Barnes, Steven H. Batha, Cindy R. Christensen, James A. Cobble, James Fincke, Paul Keiter, Nicholas Lanier, Dennis Paisley, Michael Sorem, Damian Swift, Jonathan Workman
Fusion Science and Technology | Volume 45 | Number 2 | March 2004 | Pages 286-295
Technical Paper | Target Fabrication | doi.org/10.13182/FST04-A463
Articles are hosted by Taylor and Francis Online.
Targets are used for a variety of purposes, but ultimately we use them to validate codes that help us predict and understand new phenomena or effects. The sophistication and complexity of High Energy Density Physics (HEDP) and Inertial Confinement Fusion (ICF) targets has increased in to match the advances made in modeling complex phenomena. The targets have changed from simple hohlraums, spherical geometries, and planar foils, to 3-dimensional geometries that require precision in construction, alignment, and metrology. Furthermore, material properties, such as surface morphologies and volume texture, have significant impact on the behavior of the targets and must be measured and controlled. In the following we will discuss how experimental physicists view targets and the influence that target construction has on interpreting the experimental results. We review a representative sampling of targets fabricated at the Los Alamos National Laboratory that are used in different experiments in support of ICF and HEDP.