ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
The division provides a forum for focused technical dialogue on thermal hydraulic technology in the nuclear industry. Specifically, this will include heat transfer and fluid mechanics involved in the utilization of nuclear energy. It is intended to attract the highest quality of theoretical and experimental work to ANS, including research on basic phenomena and application to nuclear system design.
2023 ANS Winter Conference and Expo
November 12–15, 2023
Washington, D.C.|Washington Hilton
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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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 HFICD
Monday, June 13, 2022|3:15–5:00PM PDT|El Capitan B
Vivek Agarwal (INL)
Jamie B. Coble (University of Tennessee-Knoxville)
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Root Cause Analysis for Condition Monitoring Using Bayesian Networks
Abhimanyu Kapuria (Univ. Pittsburgh), Ryan M. Spangler (Univ. Pittsburgh), Robert S. Lois (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
Digital Twin Reliability Diagnostics for SC-HTGR Using Metroscope
Sean Kolesar (Framatome), Todd Matthews (Framatome), Pascal Brocheny (Framatome)
Toward Health Management of Active Components During Operational Transients in SMRs
Matthew Scott (Univ. Tennessee, Knoxville), Jamie Coble (Univ. Tennessee, Knoxville)
Operations and Maintenance Decision-Making with Dynamic Bayesian Networks and Monte Carlo Tree Search
Ryan M. Spangler (Univ. Pittsburgh), Abhimanyu Kapuria (Univ. Pittsburgh), Robert S. Lois (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
Mitigating Risks for Nuclear Power Plant Supply Chains Using Particle Filters and Bayesian Networks
Robert S. Lois (Univ. Pittsburgh), Ryan M. Spangler (Univ. Pittsburgh), Abhimanyu Kapuria (Univ. Pittsburgh), Daniel G. Cole (Univ. Pittsburgh)
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