ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Division Spotlight
Operations & Power
Members focus on the dissemination of knowledge and information in the area of power reactors with particular application to the production of electric power and process heat. The division sponsors meetings on the coverage of applied nuclear science and engineering as related to power plants, non-power reactors, and other nuclear facilities. It encourages and assists with the dissemination of knowledge pertinent to the safe and efficient operation of nuclear facilities through professional staff development, information exchange, and supporting the generation of viable solutions to current issues.
Meeting Spotlight
2024 ANS Annual Conference
June 16–19, 2024
Las Vegas, NV|Mandalay Bay Resort and Casino
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
May 2024
Nuclear Technology
Fusion Science and Technology
Latest News
Digital control system installed at China’s Linglong One
Earlier this month, the first digital control system was put in place at Linglong One, a small modular reactor demonstration project being built at the Changjiang nuclear power plant in Hainan Province. This is the world’s first land-based commercial SMR and is controlled by China National Nuclear Power Co. Ltd., a subsidiary of the China National Nuclear Corporation (CNNC).
Advances in Thermal Hydraulics (ATH 2022)
Technical Session
Tuesday, June 14, 2022|10:15AM–12:00PM PDT|Redondo
Session Chair:
Nadish Saini
Alternate Chair:
Yue Jin
Session Organizer:
W. David Pointer
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Embedded Fiber Optic Smart Parts Towards Advanced Reactor Applications
Andrew J. Boulanger (Luna Innovation), S. Derek Rountree (Luna Innovation), Connor Donlan (Virginia Commonwealth Univ.), Arturo Cabral (Virginia Commonwealth Univ.), Lane B. Carasik (Virginia Commonwealth Univ.), Adam Hehr (Fabrisonic)
Paper
Deep Learning-Based System Diagnosis for Nuclear Power Plant Using Infrared Thermal Cameras
Ik Jae Jin (Ulsan Nat'l Institute of Science and Technology), Do Yeong Lim (Ulsan Nat'l Institute of Science and Technology), In Cheol Bang (Ulsan Nat'l Institute of Science and Technology)
Machine Learning-Based Prediction of Departure from Nucleate Boiling Power for the PSBT Benchmark
Chaitee Godbole (NCSU), Gregory Delipei (NCSU), Xu Wu (NCSU), Maria Avramova (NCSU), Upendra Rohatgi (Brookhaven)
Prediction of Minimum Film Boiling Temperature Using a Physics-Informed Machine Learning-Aided Framework
K.M. Kim (Virginia Tech), P. Hurley (Virginia Tech), J.P. Duarte (Virginia Tech)
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