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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.
R. S. Keshavamurthy, R. S. Geetha
Nuclear Science and Engineering | Volume 162 | Number 2 | June 2009 | Pages 192-199
Technical Note | doi.org/10.13182/NSE162-192
Articles are hosted by Taylor and Francis Online.
Steffensen's inequality is used to obtain new properties of nuclear Doppler broadening functions. We apply the inequality on subinterval integrals of these functions to obtain bounds that provide new approximations for the Doppler broadening functions. The Taylor series is used to further simplify the analytic approximations for the bounds to sums of terms of elementary transcendental functions. The approximations for bounds are able to reproduce the functions with any desired decimal place accuracy. The average of the lower and upper bounds provide better approximations to achieve the same level of decimal place accuracy and are much more efficient computationally. The method is capable of computing the functions to arbitrary accuracy as the inequality essentially gives the bounds of the functions.
