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Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
Meeting Spotlight
2025 ANS Annual Conference
June 15–18, 2025
Chicago, IL|Chicago Marriott 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!
Latest Magazine Issues
Jun 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
July 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Smarter waste strategies: Helping deliver on the promise of advanced nuclear
At COP28, held in Dubai in 2023, a clear consensus emerged: Nuclear energy must be a cornerstone of the global clean energy transition. With electricity demand projected to soar as we decarbonize not just power but also industry, transport, and heat, the case for new nuclear is compelling. More than 20 countries committed to tripling global nuclear capacity by 2050. In the United States alone, the Department of Energy forecasts that the country’s current nuclear capacity could more than triple, adding 200 GW of new nuclear to the existing 95 GW by mid-century.
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.)
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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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