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Division Spotlight
Nuclear Installations Safety
Devoted specifically to the safety of nuclear installations and the health and safety of the public, this division seeks a better understanding of the role of safety in the design, construction and operation of nuclear installation facilities. The division also promotes engineering and scientific technology advancement associated with the safety of such facilities.
Meeting Spotlight
2027 ANS Winter Conference and Expo
October 31–November 4, 2027
Washington, DC|The Westin Washington, DC Downtown
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
Disney World should have gone nuclear
There is extra significance to the American Nuclear Society holding its annual meeting in Orlando, Florida, this past week. That’s because in 1967, the state of Florida passed a law allowing Disney World to build a nuclear power plant.
Technical Session|Sponsored by MCD
Wednesday, November 18, 2020|2:40–4:20PM EST
Session Chair:
Kathryn D. Huff
Alternate Chair:
Jeffrey A. Favorite
Session Organizer:
Brian C. Kiedrowski
Staff Producer:
Ashley Jiminian (American Nuclear Society)
To access the session recording, you must be logged in and registered for the meeting.
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Applying Constrained Bayesian Optimization to the Design of Criticality Experiments
Daniel J. Siefman (LLNL), Catherine M. Percher (LLNL), Jesse Norris (LLNL)
Paper
Deep Surrogate Models for Multi-dimensional Regression of Reactor Power
Akshay Dave (Massachusetts Institute of Technology), Jarod Wilson (Massachusetts Institute of Technology), Kaichao Sun (Massachusetts Institute of Technology)
Assembly Combinatorial Optimisation with Deep Reinforcement Learning
Majdi I. Radaideh (University of Illinois Urbana Champaign), Benoit Forget (Massachusetts Institute of Technology), Koroush Shirvan (Massachusetts Institute of Technology)
Analysis of Reactor Simulations with Deep Learning Surrogate Models
Majdi I. Radaideh (University of Illinois Urbana Champaign), Tomasz Kozlowski (University of Illinois)
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