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November 9–12, 2025
Washington, DC|Washington Hilton
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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.
P. Silvennoinen, T. Vieno, J. Vira
Nuclear Technology | Volume 48 | Number 1 | April 1980 | Pages 34-42
Technical Paper | Fuel Cycle | doi.org/10.13182/NT80-A32445
Articles are hosted by Taylor and Francis Online.
A technique has been devised to combine multiple criteria in fuel cycle optimization. Besides the conventional economic optimum, the model comprises the objectives of minimizing the economic risk as well as the proliferation hazard in the light water reactor (LWR) fuel cycle. Based on a material flow model, objective functions are formulated in a form amenable to linear programming. The scheme commences with a single-criterion stage, where the three solutions and suboptimal strategies obtained span the domain of feasible multigoal solutions. The multigoal optimum is searched by means of fuzzy optimization techniques that are eventually reduced again to linear programming. The method is applied to a reference nuclear power program. In this case, the economic optimum is found to motivate plutonium recycle in the LWR. The sole minimization of the proliferation risk corresponds to recycling the uranium only. Reprocessing and plutonium utilization should take place in a more resistant system. Minimization of economic risks would in this case lead to the once-through cycle. The combination of all the three criteria in the multigoal optimum is achieved by a recycle strategy where the recycle loadings are batched and scheduled to take place in a discontinuous manner. A substantial reduction of the proliferation risk can be claimed at an economic penalty that would be on the order of 10 to 15% of the fuel cycle costs.