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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.
YuGwon Jo, Nam Zin Cho
Nuclear Science and Engineering | Volume 182 | Number 2 | February 2016 | Pages 181-196
Technical Paper | doi.org/10.13182/NSE14-150
Articles are hosted by Taylor and Francis Online.
We present a new method for whole-core Monte Carlo calculation using space domain decomposition to alleviate the excessive memory requirement due to massive tallies. The proposed method is called the fission and surface source (FSS) iteration method; it is based on banking both the fission and surface sources for the next iteration to provide exact boundary conditions for nonoverlapping local problems. To accelerate source convergence during inactive iterations, the p-CMFD (partial current–based coarse-mesh finite difference) method is applied to adjust the weights of the fission and surface sources. While domain-based parallelization is easily implemented using the proposed FSS iteration method, the computing times for the local problems will be different, depending on specific local problems, which may cause idle times of the processors to wait for the results from other local problems. To reduce the idle times, we apply a source-splitting scheme to the FSS iteration method to level the expected numbers of the sources of local problems. The performance of the FSS iteration method is tested on two-dimensional, continuous-energy reactor problems, with encouraging results.