ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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Materials Science & Technology
The objectives of MSTD are: promote the advancement of materials science in Nuclear Science Technology; support the multidisciplines which constitute it; encourage research by providing a forum for the presentation, exchange, and documentation of relevant information; promote the interaction and communication among its members; and recognize and reward its members for significant contributions to the field of materials science in nuclear technology.
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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Nuclear Science and Engineering
Fusion Science and Technology
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 MCD
Tuesday, November 15, 2022|3:15–5:00PM MST|Desert Willow
Stefano Terlizzi (INL)
Brian C. Kiedrowski
Sebastian Schunert (INL)
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Feasibility Studies on Image Fusion for Radiation Imaging Modalities
Mohammed Alsowaigh (Ohio State), Vaibhav Sinha (Ohio State)
Eddy-Current Tomographic Inversion Mathematical Tools for Non-Destructive Evaluation of Boiling Tubes
Houssem Haddar (INRIA), Mohamed Kamel Riahi (Khalifa Univ.)
Revising Code Assessment Methodology
Marcos Ortiz (Information Systems Laboratories), Michael Bradbury (Information Systems Laboratories), Douglas Barber (Information Systems Laboratories)
NEORL: An Open-Source Python Framework for Optimization with Machine Learning Neuroevolution
Majdi I. Radaideh (MIT), Koroush Shirvan (MIT)
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