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Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Division Spotlight
Human Factors, Instrumentation & Controls
Improving task performance, system reliability, system and personnel safety, efficiency, and effectiveness are the division's main objectives. Its major areas of interest include task design, procedures, training, instrument and control layout and placement, stress control, anthropometrics, psychological input, and motivation.
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!
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Feb 2025
Jul 2024
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Nuclear Science and Engineering
February 2025
Nuclear Technology
Fusion Science and Technology
Latest News
Argonne scientists use AI to detect hidden defects in stainless steel
Imagine you’re constructing a bridge or designing an airplane, and everything appears flawless on the outside. However, microscopic flaws beneath the surface could weaken the entire structure over time.
These hidden defects can be difficult to detect with traditional inspection methods, but a new technology developed by scientists at the U.S. Department of Energy’s Argonne National Laboratory is changing that. Using artificial intelligence and advanced imaging techniques, researchers have developed a method to reveal these tiny flaws before they become critical problems.
Technical Session|Sponsored by MCD
Wednesday, November 20, 2024|1:00–2:45PM EST|Biscayne 3
Session Chair:
Dean Wang
Alternate Chair:
Sebastian Schunert
Session Organizer:
Koroush Shirvan (MIT)
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Preliminary Steady-State Thermal Hydraulics Analysis of Mixed HEU-LEU Transition Cores for the MIT Research Reactor with Statistical Uncertainty Propagation Using STAT7 Code
1:00–1:20PM EST
Sero Yang (ANL), Tyler Sumner (ANL), Alberto Talamo (ANL), Kyle Anderson (ANL), David Jaluvka (ANL), John Stillman (ANL), Dhongik Yoon (ANL), Walid Mohamed (ANL), Lin-wen Hu (MIT), Erik Wilson (ANL)
Paper
Interpretable Machine Learning Approaches for Predicting Critical Heat Flux
1:20–1:40PM EST
Elvan Sahin (Virginia Tech), Juliana P. Duarte (Univ. Wisconsin, Madison)
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