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.
Division Spotlight
Accelerator Applications
The division was organized to promote the advancement of knowledge of the use of particle accelerator technologies for nuclear and other applications. It focuses on production of neutrons and other particles, utilization of these particles for scientific or industrial purposes, such as the production or destruction of radionuclides significant to energy, medicine, defense or other endeavors, as well as imaging and diagnostics.
Meeting Spotlight
Conference on Nuclear Training and Education: A Biennial International Forum (CONTE 2025)
February 3–6, 2025
Amelia Island, FL|Omni Amelia Island Resort
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
Dec 2024
Jul 2024
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Nuclear Science and Engineering
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
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About Studsvik Scandpower
Studsvik Scandpower (SSP) is the leading global provider of vendor-independent, state-of-the-art nuclear fuel management software and world-class engineering services. SSP offers a full suite of software product offerings, training, and engineering services, to support operating utilities, fuel vendors, safety authorities, and research organizations around the world.
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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