ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
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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
ANS Student Conference 2025
April 3–5, 2025
Albuquerque, NM|The University of New Mexico
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
Mar 2025
Jan 2025
Latest Journal Issues
Nuclear Science and Engineering
May 2025
Nuclear Technology
April 2025
Fusion Science and Technology
Latest News
El Salvador: Looking to nuclear
In 2022, El Salvador’s leadership decided to expand its modest, mostly hydro- and geothermal-based electricity system, which is supported by expensive imported natural gas and diesel generation. They chose to use advanced nuclear reactors, preferably fueled by thorium-based fuels, to power their civilian efforts. The choice of thorium was made to inform the world that the reactor program was for civilian purposes only, and so they chose a fuel that was plentiful, easy to source and work with, and not a proliferation risk.
Technical Session|Sponsored by THD
Monday, November 14, 2022|1:00–2:45PM MST|Sonoran 3
Session Chair:
Xu Wu
Alternate Chair:
Juliana Duarte
Session Organizer:
Annalisa Manera
To access paper attachments, you must be logged in and registered for the meeting.
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Prediction of Unstable Two-Phase Flow Behavior Using Dense Neural Network
1:00–1:20PM MST
Paul Hurley (Virginia Tech), Juliana Pacheco Duarte (Virginia Tech)
Paper
Introducing the OECD/NEA WPRS Task Force on Artificial Intelligence and Machine Learning
1:20–1:40PM MST
Xu Wu (NCSU), Gregory Delipei (NCSU), Maria Avramova (NCSU), Kostadin Ivanov (NCSU)
Flow Regime Identification for Inclined Two-Phase Flows Using Machine Learning
1:40–2:00PM MST
David Kang (Purdue), Drew Ryan (Purdue), Seungjin Kim (Purdue)
Review and Comparison of Existing District Heating Reactor Concepts
2:00–2:20PM MST
Ben Lindley (Univ. Wisconsin, Madison), Ryan Dailey (Univ. Wisconsin, Madison)
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