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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
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The Standards Committee is responsible for the development and maintenance of voluntary consensus standards that address the design, analysis, and operation of components, systems, and facilities related to the application of nuclear science and technology. Find out What’s New, check out the Standards Store, or Get Involved today!
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Empowering the next generation: ANS’s newest book focuses on careers in nuclear energy
A new career guide for the nuclear energy industry is now available: The Nuclear Empowered Workforce by Earnestine Johnson. Drawing on more than 30 years of experience across 16 nuclear facilities, Johnson offers a practical, insightful look into some of the many career paths available in commercial nuclear power. To mark the release, Johnson sat down with Nuclear News for a wide-ranging conversation about her career, her motivation for writing the book, and her advice for the next generation of nuclear professionals.
When Johnson began her career at engineering services company Stone & Webster, she entered a field still reeling from the effects of the Three Mile Island incident in 1979, nearly 15 years earlier. Her hiring cohort was the first group of new engineering graduates the company had brought on since TMI, a reflection of the industry-wide pause in nuclear construction. Her first long-term assignment—at the Millstone site in Waterford, Conn., helping resolve design issues stemming from TMI—marked the beginning of a long and varied career that spanned positions across the country.
G. D. Bouchey, B. V. Koen, C. S. Beightler
Nuclear Technology | Volume 12 | Number 1 | September 1971 | Pages 18-25
Technical Paper | Fuel Cycle | doi.org/10.13182/NT71-A15893
Articles are hosted by Taylor and Francis Online.
The dynamic programming algorithm is used to determine the optimal allocation of effort (measured in dollars or other appropriate units) to minimize the variance on the measurement of Material Unaccounted For (MUF) in a nuclear materials safeguards system. A multistage model of a hypothetical safeguards sampling system is formulated and optimized. The dynamic programming approach for optimization of a safeguards system allows more exact treatment of the model than is possible with classical optimization techniques and can easily be extended to handle large problems of the type that might be encountered in a real-world safeguards sampling system.