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Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
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
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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!
Latest Magazine Issues
Nov 2024
Jul 2024
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Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
DOE opens funding opportunity for HALEU transport packages
The Department of Energy announced November 19 that up to $16 million is available through a new High-Assay Low-Enrichment Transportation Package funding opportunity to research, develop, and acquire Nuclear Regulatory Commission licensing for transportation of HALEU—using new or modified packages.
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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To access paper attachments, you must be logged in and registered for the meeting.
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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