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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
2023 ANS Winter Conference and Expo
November 12–15, 2023
Washington, D.C.|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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Nuclear Science and Engineering
November 2023
Nuclear Technology
October 2023
Fusion Science and Technology
Latest News
NCSU’s advanced research reactor study to be funded by state
North Carolina’s fiscal year 2024 budget for the state has allocated $3 million for North Carolina State University, in Raleigh, to conduct a study to assess the feasibility for the establishment of an advanced nuclear research reactor.
Technical Session|Sponsored by MCD
Wednesday, June 10, 2020|12:00–2:10PM EDT
Alternate Chairs:
Steven P. Hamilton
Madicken Munk (Univ. of Illinois, Urbana-Champaign)
Session Organizer:
Staff Producer:
Rick Michal (American Nuclear Society)
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Assessing the Effectiveness of Acceleration Methods for Deterministic Neutron Transport Solvers
J. S. Rehak (Univ. of California, Berkeley), R. N. Slaybaugh (Univ. of California, Berkeley)
Summary
Stability Analysis of CMFD Acceleration and Linear Prolongation for Weighted Linear Difference Schemes
Rodolfo M. Ferrer (Studsvik Scandpower)
A Hybrid Neutronics Method with Diffusion Synthetic Acceleration for k-eigenvalue Problem
Jiahao Chen (NC State Univ.), Jason Hou (NC State Univ.)
Hybrid Parallel Computing of Solving 3D Multi-group Neutron Diffusion Equation via Multi-level CMFD Acceleration
Shunjiang Tao (Purdue Univ.), Yunlin Xu (Purdue Univ.)
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