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Division Spotlight
Robotics & Remote Systems
The Mission of the Robotics and Remote Systems Division is to promote the development and application of immersive simulation, robotics, and remote systems for hazardous environments for the purpose of reducing hazardous exposure to individuals, reducing environmental hazards and reducing the cost of performing work.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott Downtown
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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Latest News
Countering the nuclear workforce shortage narrative
James Chamberlain, director of the Nuclear, Utilities, and Energy Sector at Rullion, has declared that the nuclear industry will not have workforce challenges going forward. “It’s time to challenge the scarcity narrative,” he wrote in a recent online article. “Nuclear isn't short of talent; it’s short of imagination in how it attracts, trains, and supports the workforce of the future.”
Thomas E. Booth, Edmond D. Cashwell
Nuclear Science and Engineering | Volume 71 | Number 2 | August 1979 | Pages 128-142
Technical Paper | doi.org/10.13182/NSE79-A20404
Articles are hosted by Taylor and Francis Online.
Equations are presented that allow the efficiencies of Monte Carlo techniques (for particle transport problems) to be calculated. This theory generalizes the theory of Amster and Djomehri to treat time-dependent multiplying systems, even when supercritical. Standard variance reducing techniques such as biased kernels, splitting, and Russian roulette are included in the theory. As concrete examples, the efficiencies of four Monte Carlo techniques for obtaining the expected number of collisions a particle makes have been analytically predicted. These predictions are stated and compared with the observed efficiencies obtained by Monte Carlo calculations using each of the four techniques.