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Conference Spotlight
2025 ANS Winter Conference & Expo
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.
W. A. Coleman
Nuclear Science and Engineering | Volume 32 | Number 1 | April 1968 | Pages 76-81
Technical Paper | doi.org/10.13182/NSE68-1
Articles are hosted by Taylor and Francis Online.
The first section of this paper is a mathematical construction of a certain Monte Carlo procedure for sampling from the distribution The construction begins by defining a particular random variable λ. The distribution function of λ is developed and found to be identical to F(X). The definition of λ describes the sampling procedure. Depending on the behavior of Σ(x), it may be more efficient to sample from F(X) by obtaining realizations of λ than by the more conventional procedure described in the paper. Section II is a discussion of applications of the technique to problems in radiation transport where F(X) is frequently encountered as the distribution function for nuclear collisions. The first application is in charged particle transport where Σ(x) is essentially a continuous function of x. An application in complex geometries where Σ(x) is a step function, and changes values numerous times over a mean path, is also cited. Finally, it is pointed out that the technique has been used to improve the efficiency of estimating certain quantities, such as the number of absorptions in a material.
