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Division Spotlight
Reactor Physics
The division's objectives are to promote the advancement of knowledge and understanding of the fundamental physical phenomena characterizing nuclear reactors and other nuclear systems. The division encourages research and disseminates information through meetings and publications. Areas of technical interest include nuclear data, particle interactions and transport, reactor and nuclear systems analysis, methods, design, validation and operating experience and standards. The Wigner Award heads the awards program.
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
May 2025
Fusion Science and Technology
Latest News
EnergySolutions to help explore advanced reactor development in Utah
Utah-based waste management company EnergySolutions announced that it has signed a memorandum of understating with the Intermountain Power Agency and the state of Utah to explore the development of advanced nuclear power generation at the Intermountain Power Project (IPP) site near Delta, Utah.
The Consortium for Advanced Simulation of Light Water Reactors Virtual Meeting
Technical Session|Sponsored by Verification and Validation Impl
Thursday, November 19, 2020|12:15–2:00PM EST
Session Chair:
Ralph Smith (NC State Univ.)
Alternate Chair:
David Luxat (Sandia)
Track Organizers:
Scott Palmtag (NCSU)
David J. Kropaczek (ORNL)
Staff Producer:
Kai Duemmler (NC State Univ.)
To access the session recording, you must be logged in and registered for the meeting.
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Development of a Single Phase Residual Formulation Solver in CTF
Agustin Abarca (NC State University), Maria N. Avramova (North Carolina State University)
Paper
Physics-informed machine learning-aided framework for CASL challenge problem solving - a demonstration and prospects
Xingang Zhao (Massachusetts Institute of Technology), Koroush Shirvan (Massachusetts Institute of Technology)
CASL Thermal Hydraulic Hi2Lo Applications
Lindsay N. Gilkey (Sandia National Laboratories)
Dakota Optimization and Uncertainty Quantification Software: CASL Capabilities and Impact
Brian M. Adams (Sandia National Laboratories), Russell W. Hooper (Sandia National Laboratories)
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