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Conference Spotlight
2025 ANS Winter Conference & Expo
November 9–12, 2025
Washington, DC|Washington Hilton
Standards Program
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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September 2025
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October 2025
Latest News
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.
Technical Session
Saturday, April 10, 2021|4:30–5:15PM EDT
Session Chair:
Grayson Gall (NC State Univ.)
Alternate Chair:
Ishita Trivedi
Session Organizer:
Edward Chen (NC State Univ.)
Track Organizer:
Session Producers:
Alp Tezbasaran (NC State Univ.)
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A PDE-informed Neural Network for a Closure Model without Physics Separation
Arsen S. Iskhakov (North Carolina State University), Nam T. Dinh (North Carolina State University)
Paper
Application of LatticeNet Deep Learning Architecture on Neutronics Predictions Using OpenMC
Aidan J. Furlong (University of Florida), Forrest W. Shriver (University of Florida), Justin K. Watson (University of Florida)
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