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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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“Life is a roller coaster. It’s best ridden with your hands in the air.”
Craig Piercycpiercy@ans.org
I find myself saying the expression above a lot these days—to my kids, my wife, my friends, and colleagues. Most recently, I said it to the person sitting next to me after the pilot of our plane—bound for Reagan National Airport a day after the collision of AA flight 5342 and a military Blackhawk helicopter—aborted the landing at the last minute.
I am not sure where I picked up this pronouncement, but I find it to be apropos to the topsy-turvy moment where we find ourselves in 2025. In addition to the first U.S. commercial airline crash in 15 years, we are witnessing a new presidential administration in its infancy playing by the Silicon Valley rules of “move fast, break things.” We’ve seen DeepSeek, the low-cost Chinese AI that reportedly uses 50–75 percent less energy than its NVIDIA-powered counterparts, tank Constellation’s market value by more than 20 percent in one late-January trading day.
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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