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Conference Spotlight
Nuclear Energy Conference & Expo (NECX)
September 8–11, 2025
Atlanta, GA|Atlanta Marriott Marquis
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U.S. nuclear supply chain: Ready for liftoff
Craig Piercycpiercy@ans.org
This month, September 8–11, the American Nuclear Society is teaming up with the Nuclear Energy Institute to host our first-ever Nuclear Energy Conference and Expo—NECX for short—in Atlanta. This new meeting combines ANS’s Utility Working Conference and NEI’s Nuclear Energy Assembly to form what NEI CEO Maria Korsnick and I hope will be the premier nuclear industry gathering in America.
We did this because after more than four decades of relative stagnation, the U.S. nuclear supply chain is finally entering a new era of dynamic growth. This resurgence is being driven by several powerful and increasingly durable forces: the explosive demand for electricity from artificial intelligence and data centers, an unprecedented wave of public and private acceptance of—and investment in—advanced nuclear technologies, and a strong market signal for reliable, on-demand power. Add the recent Trump administration executive orders on nuclear into the mix, and you have all the makings of an accelerant-rich business environment primed for rapid expansion.
Chin-Jen Chang, Samim Anghaie
Nuclear Technology | Volume 124 | Number 3 | December 1998 | Pages 265-275
Technical Paper | Radiation Measurements and Instrumentation | doi.org/10.13182/NT98-A2925
Articles are hosted by Taylor and Francis Online.
A high-definition gamma scanning method for the near-field measurement of radionuclide inventories in a large nuclear waste barrel is presented. The method introduced is especially accurate for radionuclides with multiple gamma energy peaks. Multiple detectors positioned as closely as possible to the waste barrel are used to measure the radiation field emanating from the distributed radiation sources. The total source activity is reconstructed by using the conjugate gradient with nonnegative constraint method or the maximum likelihood expectation maximum method based on measured detector responses. The maximum measurement error bond and its associated confidence level for the developed gamma scanning system are determined statistically by performing a large number of numerical experiments that take into consideration the counting statistics, the nonuniformity of source distribution, and the heterogeneous density of the self-absorbing medium. The accuracy and reliability of the system are verified through a series of real measurements with randomly distributed 192Ir sources in a 208-litre waste barrel. The results of these measurements are in full agreement with the estimated error and the confidence level that are predicted by the numerical simulation.