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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
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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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Jan 2025
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Nuclear Science and Engineering
February 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Trump picks former N.Y. congressman for NNSA administrator
Williams
President Trump has selected Brandon Williams to head the Department of Energy’s National Nuclear Security Administration, pending confirmation by the U.S. Senate.
Williams is a former one-term congressman (R., N.Y.),from 2023 to the beginning of 2025. Prior to political office he served in the U.S. Navy. Williams’s run for office gained attention in 2022 when he defeated fellow navy veteran Francis Conole, a Democrat, but he lost the seat last November to Democrat John Mannion.
“I will be honored to lead the tremendous scientific and engineering talent at NNSA,” Williams said, thanking Trump, according to WSYR-TV in Syracuse, N.Y.
Andrew E. Slaughter, Cody J. Permann, Jason M. Miller, Brian K. Alger, Stephen R. Novascone
Nuclear Technology | Volume 207 | Number 7 | July 2021 | Pages 923-930
Technical Paper | doi.org/10.1080/00295450.2020.1826804
Articles are hosted by Taylor and Francis Online.
The Multiphysics Object Oriented Simulation Environment (MOOSE) is an open-source, finite element framework for solving highly coupled sets of nonlinear equations. The development of the framework and applications occurs concurrently using an agile, continuous-integration software package. Included in the framework is an in-code, extensible documentation system. Using these two tools in union with the repository management tools GitHub and GitLab, a software quality plan was created and followed such that MOOSE and a MOOSE-based application (BISON) have been shown to meet the American Society of Mechanical Engineers’ Nuclear Quality Assurance-1 standard. The approach relies heavily on automation for both testing and documentation. The resulting effort demonstrates that a rigorous software quality plan may be implemented that incurs a minimal impact on day-to-day development of the software, satisfying the stringent guidelines necessary to operate the software in a safety function within a nuclear facility.