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.
Aerospace Nuclear Science & Technology
Organized to promote the advancement of knowledge in the use of nuclear science and technologies in the aerospace application. Specialized nuclear-based technologies and applications are needed to advance the state-of-the-art in aerospace design, engineering and operations to explore planetary bodies in our solar system and beyond, plus enhance the safety of air travel, especially high speed air travel. Areas of interest will include but are not limited to the creation of nuclear-based power and propulsion systems, multifunctional materials to protect humans and electronic components from atmospheric, space, and nuclear power system radiation, human factor strategies for the safety and reliable operation of nuclear power and propulsion plants by non-specialized personnel and more.
2023 ANS Annual Meeting
June 11–14, 2023
Indianapolis, IN|Marriott Indianapolis Downtown
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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Art exhibit visits IIT
Nuclear power plant cooling towers are easily recognizable for their familiar hyperboloid shape. But an art exhibit running at the Illinois Institute of Technology in Chicago aims to give visitors a different perspective.
The Art of the Reactor, an exhibit by the National Museum of Nuclear Science and History and hosted by IIT’s Lewis College of Science and Letters, opened on November 4 and runs until Sunday, December 4 at Hermann Hall on the IIT campus.
Technical Session|Sponsored by THD
Monday, November 14, 2022|1:00–2:45PM MST|Sonoran 3
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Prediction of Unstable Two-Phase Flow Behavior Using Dense Neural Network
Paul Hurley (Virginia Tech), Juliana Pacheco Duarte (Virginia Tech)
Introducing the OECD/NEA WPRS Task Force on Artificial Intelligence and Machine Learning
Xu Wu (NCSU), Gregory Delipei (NCSU), Maria Avramova (NCSU), Kostadin Ivanov (NCSU)
Flow Regime Identification for Inclined Two-Phase Flows Using Machine Learning
David Kang (Purdue), Drew Ryan (Purdue), Seungjin Kim (Purdue)
Review and Comparison of Existing District Heating Reactor Concepts
Ben Lindley (Univ. Wisconsin, Madison), Ryan Dailey (Univ. Wisconsin, Madison)
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