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August 24–27, 2026
Dallas, TX|Hilton Anatole
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Second round of Launch Pad selections includes eight newcomers
The National Reactor Innovation Center at Idaho National Laboratory has announced 13 project selections across 12 companies for the Nuclear Energy Launch Pad, a Department of Energy–led program that integrates reactor and fuel facility authorization, testing, and deployment support for private nuclear developers.
The Launch Pad emerged from the Reactor Pilot Program and Fuel Line Pilot Program.
According to INL, projects selected include reactor development and nuclear fuel cycle advancements, including fabrication, enrichment, and conversion technologies.
R. Fischer, C. J. Fuchs, B. Kurzan, W. Suttrop, E. Wolfrum, ASDEX Upgrade Team
Fusion Science and Technology | Volume 58 | Number 2 | October 2010 | Pages 675-684
Selected Paper from the Sixth Fusion Data Validation Workshop 2010 (Part 1) | doi.org/10.13182/FST10-110
Articles are hosted by Taylor and Francis Online.
A major challenge in nuclear fusion research is the coherent combination of measurements from heterogeneous diagnostics. Different measurement techniques for measuring the same subset of physical parameters provide complementary and redundant data for, e.g., improving the reliability of physical parameters, increasing the spatial and temporal resolution of profiles, and resolving data inconsistencies.The concept of integrated data analysis within the framework of Bayesian probability theory was applied to the combined analysis of lithium beam emission spectroscopy (LIB), deuterium cyanide laser interferometry, electron cyclotron emission (ECE), and Thomson scattering spectroscopy. The four heterogeneous diagnostics enable the simultaneous estimation of electron density and temperature profiles with high spatial and temporal resolution. The coherent analysis of the profile diagnostics allows one to consider diagnostic interdependencies correlating density and temperature profiles, e.g., ECE shine-through, and diagnostics alignment. The benefits of a combined analysis of diagnostics will be shown in a modular way by successively increasing the set of diagnostics starting with the LIB diagnostics.