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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
December 2024
Nuclear Technology
Fusion Science and Technology
November 2024
Latest News
MIT’s nuclear professional courses benefit United States—and now Australia too
Some 30 nuclear engineering departments at universities across the United States graduate more than 900 students every year. These young men and women are the present and future of the domestic nuclear industry as it seeks to develop and deploy advanced nuclear energy technologies, grow its footprint on the power grid, and penetrate new markets while continuing to run the existing fleet of reactors reliably and economically.
Technical Session|Panel|Sponsored by HFICD
Wednesday, December 1, 2021|2:35–4:00PM EST |Columbia 2
Session Chair:
Vaibhav Yadav (INL)
Session Organizer:
Alternate Chair:
Jason Remer (INL)
Student Assistant:
Kervin Coss
This session will overview regulatory considerations and developments related to the use of digital twins, artificial intelligence, and machine learning in nuclear power facilities. Current advances in these areas will be presented, as well as the regulatory perspective on acceptability of DTs, AI, and ML in a nuclear context.
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