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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.
Charles J. Mueller, Stephen M. Folga, Jordi Roglans-Ribas, Bassel Nabelssi, Jofu Mishima
Nuclear Technology | Volume 122 | Number 3 | June 1998 | Pages 306-317
Technical Paper | Criticality of Nuclear Materials | doi.org/10.13182/NT98-A2872
Articles are hosted by Taylor and Francis Online.
Guidance from the U.S. Department of Energy (DOE) for the performance of accident analysis in support of environmental impact assessments calls for a graded approach that considers frequencies as well as consequences of accidents, focuses on high-risk scenarios, and avoids bounding analyses that can obfuscate comparisons of alternative actions. This guidance reflects the fact that at the heart of an environmental impact statement is a comparative analysis of alternatives, including the proposed action; this analysis should address the environmental impacts in proportion to their potential significance, avoid addressing insignificant impacts in detail, and focus analysis resources to be as cost-effective as possible. Accordingly, a probabilistic risk analysis-based methodology to satisfy DOE guidance was developed and implemented for the DOE Waste Management Programmatic Environmental Impact Statement (WM PEIS). The methods are described and illustrated, and an outline of the computational framework is presented. This methodology, although developed for the WM PEIS, is, of course, applicable to general safety analyses. The implementation of the methods for the WM PEIS is summarized, and the extension of the methods to site-specific applications is explained.