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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
International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2025)
April 27–30, 2025
Denver, CO|The Westin Denver 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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Nuclear Science and Engineering
June 2025
Nuclear Technology
Fusion Science and Technology
May 2025
Latest News
Dragonfly, a Pu-fueled drone heading to Titan, gets key NASA approval
Curiosity landed on Mars sporting a radioisotope thermoelectric generator (RTG) in 2012, and a second NASA rover, Perseverance, landed in 2021. Both are still rolling across the red planet in the name of science. Another exploratory craft with a similar plutonium-238–fueled RTG but a very different mission—to fly between multiple test sites on Titan, Saturn’s largest moon—recently got one step closer to deployment.
On April 25, NASA and the Johns Hopkins University Applied Physics Laboratory (APL) announced that the Dragonfly mission to Saturn’s icy moon passed its critical design review. “Passing this mission milestone means that Dragonfly’s mission design, fabrication, integration, and test plans are all approved, and the mission can now turn its attention to the construction of the spacecraft itself,” according to NASA.
Barry N. Naft, Alexander Sesonske
Nuclear Technology | Volume 14 | Number 2 | May 1972 | Pages 123-132
Technical Paper | Fuel Cycle | doi.org/10.13182/NT72-A31127
Articles are hosted by Taylor and Francis Online.
As an initial step toward a comprehensive fuel management procedure, a model was developed to optimize fuel loading patterns in pressurized water reactors (PWR) with regard to a specified function of burnup and power. For this purpose, the JUMBO code employs a simplified semianalytic function to represent X-Y power distribution and a direct search scheme to optimize shuffling. The number of feasible patterns is greatly reduced through the use of a logical set of shuffling rules. The applicability of the method was demonstrated for a typical 500-MW(e) PWR, considering both an initial and reload core.