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Division Spotlight
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.
Meeting Spotlight
2024 ANS Winter Conference and Expo
November 17–21, 2024
Orlando, FL|Renaissance Orlando at SeaWorld
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
November 2024
Nuclear Technology
Fusion Science and Technology
October 2024
Latest News
Westinghouse reorganization creates two new business units
Westinghouse Electric Company has announced that it will create two new global business units from its Operating Plant Services business. Effective January 1, 2025, the new units will be Long-Term Operations and Outage & Maintenance Services.
Technical Session|Sponsored by NNPD
Tuesday, June 15, 2021|4:30–6:15PM EDT
Session Chair:
Stefani Buster
Session Organizer:
Alternate Chair:
James W. Behrens
Staff Producer:
Janice Lindegard (ANS)
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Proliferation Resistance Analysis of Spent Nuclear Fuels
Ryan Siggins (Missouri Univ. of Science and Technology), Friedrich May (Missouri Univ. of Science and Technology), Syed Alam (Missouri Univ. of Science and Technology)
Paper
Moving Nuclear Doctrine Away from Deterrence
Connor Grzovic (Missouri Univ. of Science and Technology), Karl Fahrenholtz (Missouri Univ. of Science and Technology), Syed Alam (Missouri Univ. of Science and Technology)
Uncertainty Quantification of Fission Product Concentration Estimation in MCNP Fuel Depletion Simulations
Grace R. Long (Texas A&M Univ.), Sunil S. Chirayath (Texas A&M Univ.)
Separated Plutonium Attribution using Machine Learning Techniques
Patrick J. O'Neal (Texas A&M Univ.), Sunil S. Chirayath (Texas A&M Univ.)
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